9 kinds of electromagnetic simulation software and methods, do you know what are they?
There are many different algorithms in computational electromagnetics, such as finite difference method in time-domain (FDTD), finite integral method in the time domain (FITD), finite element method (FE), moment method (MoM), boundary element method (BEM), spectral-domain method (SM), transmission line method (TLM), mode-matching method (MM), transverse resonance method (TRM), line method (ML) and analytical method, etc.
PERFORMANCE OF MIMO MC-CDMA SYSTEM WITH CHANNEL ESTIMATION AND MMSE EQUALIZATIONTamilarasan N
The quality of a wireless link can be described by three basic parameters, namely transmission rate, transmission range
and transmission reliability. With the advent of multiple-input multiple-output (MIMO) assisted Multicarrier code
division multiple access (MC-CDMA) systems, the above-mentioned three parameters may be simultaneously
improved. The MC-CDMA combined with the MIMO technique, has become a core technology for future mobile radio
communication system. However, possible potential gain in spectral efficiency is challenged by the receiver’s ability to
accurately detect the symbol due to inter symbol interference (ISI). Multipath propagation, mobility of transmitter,
receiver and local scattering cause the signal to be spread in frequency, different arrival time and angle, which results in
ISI in the received signal. This will affect overall system performance. The use of MC-CDMA mitigates the problem of
time dispersion. However, still it is necessary to remove the amplitude and phase shift caused by channel. To solve this
problem, a multiple antenna array can be used at the receiver, not only for spectral efficiency or gain enhancement, but
also for interference suppression. This can be done by the, efficient channel estimation with strong equalization. This
paper proposes MIMO MC-CDMA system, Minimum mean square error (MMSE) equalization with pilot based
channel estimation. The simulation result shows improved Bit error rate (BER) performance when the sub carrier (SC)
and antenna configuration were increased
Application of smart antenna interference suppression techniques in tdscdmamarwaeng
This document discusses the application of smart antenna interference suppression techniques in TD-SCDMA systems. It first provides background on TD-SCDMA and smart antenna technology. It then describes two adaptive beamforming algorithms - LMS and RLS - and simulates their performance at interference suppression in MATLAB. The simulation results show that both algorithms can effectively form a main beam towards the desired user and nulls towards interferers. RLS converges faster than LMS, though it has higher computational complexity. The study demonstrates that smart antenna techniques can improve signal quality in TD-SCDMA systems by suppressing interference.
Investigation of the performance of multi-input multi-output detectors based...IJECEIAES
The next generation of wireless cellular communication networks must be energy efficient, extremely reliable, and have low latency, leading to the necessity of using algorithms based on deep neural networks (DNN) which have better bit error rate (BER) or symbol error rate (SER) performance than traditional complex multi-antenna or multi-input multi-output (MIMO) detectors. This paper examines deep neural networks and deep iterative detectors such as OAMP-Net based on information theory criteria such as maximum correntropy criterion (MCC) for the implementation of MIMO detectors in non-Gaussian environments, and the results illustrate that the proposed method has better BER or SER performance.
An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...Cemal Ardil
This document summarizes research on efficient spreading codes for transmitter-based techniques to mitigate interference in time division duplex code division multiple access (TDD/CDMA) downlink systems. It investigates bitwise and blockwise multiuser transmission schemes that transfer complexity to the transmitter. Different spreading codes are evaluated based on correlation properties to determine suitability for techniques like precoding, pre-rake, and rake diversity. Performance is measured by bit error rate with varying numbers of users to identify the most efficient codes for interference mitigation.
3D METALLIC PLATE LENS ANTENNA BASED BEAMSPACE CHANNEL ESTIMATION TECHNIQUE F...ijwmn
Beamspace channel estimation mechanism for massive MIMO (multiple input multiple output) antenna
system presents a major process to compensate the 5G spectrum challenges caused by the proliferation of
information from mobile devices. However, this estimation is required to ensure the perfect channel state
information (CSI) for lower amount of Radio Frequency (RF) chains for each beam. In addition, phase
shifter (PS) components used in this estimation need high power to select the beam in the desired direction.
To overcome these limitations, in this work, we propose Regular Scanning Support Detection (RSSD)
based channel estimation mechanism. Moreover, we utilise a 3D lens antenna array having metallic plate
and a switch in our model which compensates the limitation of phase shifters. Simulation results show that
the proposed RSSD based channel estimation surpasses traditional technique and SD based channel
estimation even in lower SNR area which is highly desirable in the millimeter wave (mmWave) massive
MIMO systems.
3D METALLIC PLATE LENS ANTENNA BASED BEAMSPACE CHANNEL ESTIMATION TECHNIQUE F...ijwmn
Beamspace channel estimation mechanism for massive MIMO (multiple input multiple output) antenna
system presents a major process to compensate the 5G spectrum challenges caused by the proliferation of
information from mobile devices. However, this estimation is required to ensure the perfect channel state
information (CSI) for lower amount of Radio Frequency (RF) chains for each beam. In addition, phase
shifter (PS) components used in this estimation need high power to select the beam in the desired direction.
To overcome these limitations, in this work, we propose Regular Scanning Support Detection (RSSD)
based channel estimation mechanism. Moreover, we utilise a 3D lens antenna array having metallic plate
and a switch in our model which compensates the limitation of phase shifters. Simulation results show that
the proposed RSSD based channel estimation surpasses traditional technique and SD based channel
estimation even in lower SNR area which is highly desirable in the millimeter wave (mmWave) massive
MIMO systems.
What is the antenna model in the communication terminal and the radar system ...Antenna Manufacturer Coco
In a communication system or radar system, the antenna model needs to be closely combined with the communication channel or the radar usage scene to work together. This paper studies the communication and radar system simulation compares the antenna models in the two types of systems and summarizes several methods for considering the antenna performance in the current communication terminal and radar system simulation design.
A wireless precoding technique for millimetre-wave MIMO system based on SIC-MMSETELKOMNIKA JOURNAL
A communication method is proposed using Minimum Mean Square Error (MMSE) precoding and Successive Interference Cancellation (SIC) technique for millimetre-wave multiple-input multiple-output (mm-Wave MIMO) based wireless communication system. The mm-Wave MIMO technology for wireless communication system is the base potential technology for its high data transfer rate followed by data instruction and low power consumption compared to Long-Term Evolution (LTE). The mm-Wave system is already available in indoor hotspot and Wi-Fi backhaul for its high bandwidth availability and potential lead to rate of numerous Gbps/user. But, in mobile wireless communication system this technique is lagging because the channel faces relative orthogonal coordination and multiple node detection problems while rapid movement of nodes (transmitter and receiver) occur. To improve the conventional mm-wave MIMO nodal detection and coordination performance, the system processes data using symbolized error vector technique for linearization. Then the MMSE precoding detection technique improves the link strength by constantly fitting the channel coefficients based on number of independent service antennas (M), Signal to Noise Ratio (SNR), Channel Matrix (CM) and mean square errors (MSE). To maintain sequentially encoded user data connectivity and to overcome data loss, SIC method is used in combination with MMSE. MATLAB was used to validate the proposed system performance.
PERFORMANCE OF MIMO MC-CDMA SYSTEM WITH CHANNEL ESTIMATION AND MMSE EQUALIZATIONTamilarasan N
The quality of a wireless link can be described by three basic parameters, namely transmission rate, transmission range
and transmission reliability. With the advent of multiple-input multiple-output (MIMO) assisted Multicarrier code
division multiple access (MC-CDMA) systems, the above-mentioned three parameters may be simultaneously
improved. The MC-CDMA combined with the MIMO technique, has become a core technology for future mobile radio
communication system. However, possible potential gain in spectral efficiency is challenged by the receiver’s ability to
accurately detect the symbol due to inter symbol interference (ISI). Multipath propagation, mobility of transmitter,
receiver and local scattering cause the signal to be spread in frequency, different arrival time and angle, which results in
ISI in the received signal. This will affect overall system performance. The use of MC-CDMA mitigates the problem of
time dispersion. However, still it is necessary to remove the amplitude and phase shift caused by channel. To solve this
problem, a multiple antenna array can be used at the receiver, not only for spectral efficiency or gain enhancement, but
also for interference suppression. This can be done by the, efficient channel estimation with strong equalization. This
paper proposes MIMO MC-CDMA system, Minimum mean square error (MMSE) equalization with pilot based
channel estimation. The simulation result shows improved Bit error rate (BER) performance when the sub carrier (SC)
and antenna configuration were increased
Application of smart antenna interference suppression techniques in tdscdmamarwaeng
This document discusses the application of smart antenna interference suppression techniques in TD-SCDMA systems. It first provides background on TD-SCDMA and smart antenna technology. It then describes two adaptive beamforming algorithms - LMS and RLS - and simulates their performance at interference suppression in MATLAB. The simulation results show that both algorithms can effectively form a main beam towards the desired user and nulls towards interferers. RLS converges faster than LMS, though it has higher computational complexity. The study demonstrates that smart antenna techniques can improve signal quality in TD-SCDMA systems by suppressing interference.
Investigation of the performance of multi-input multi-output detectors based...IJECEIAES
The next generation of wireless cellular communication networks must be energy efficient, extremely reliable, and have low latency, leading to the necessity of using algorithms based on deep neural networks (DNN) which have better bit error rate (BER) or symbol error rate (SER) performance than traditional complex multi-antenna or multi-input multi-output (MIMO) detectors. This paper examines deep neural networks and deep iterative detectors such as OAMP-Net based on information theory criteria such as maximum correntropy criterion (MCC) for the implementation of MIMO detectors in non-Gaussian environments, and the results illustrate that the proposed method has better BER or SER performance.
An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...Cemal Ardil
This document summarizes research on efficient spreading codes for transmitter-based techniques to mitigate interference in time division duplex code division multiple access (TDD/CDMA) downlink systems. It investigates bitwise and blockwise multiuser transmission schemes that transfer complexity to the transmitter. Different spreading codes are evaluated based on correlation properties to determine suitability for techniques like precoding, pre-rake, and rake diversity. Performance is measured by bit error rate with varying numbers of users to identify the most efficient codes for interference mitigation.
3D METALLIC PLATE LENS ANTENNA BASED BEAMSPACE CHANNEL ESTIMATION TECHNIQUE F...ijwmn
Beamspace channel estimation mechanism for massive MIMO (multiple input multiple output) antenna
system presents a major process to compensate the 5G spectrum challenges caused by the proliferation of
information from mobile devices. However, this estimation is required to ensure the perfect channel state
information (CSI) for lower amount of Radio Frequency (RF) chains for each beam. In addition, phase
shifter (PS) components used in this estimation need high power to select the beam in the desired direction.
To overcome these limitations, in this work, we propose Regular Scanning Support Detection (RSSD)
based channel estimation mechanism. Moreover, we utilise a 3D lens antenna array having metallic plate
and a switch in our model which compensates the limitation of phase shifters. Simulation results show that
the proposed RSSD based channel estimation surpasses traditional technique and SD based channel
estimation even in lower SNR area which is highly desirable in the millimeter wave (mmWave) massive
MIMO systems.
3D METALLIC PLATE LENS ANTENNA BASED BEAMSPACE CHANNEL ESTIMATION TECHNIQUE F...ijwmn
Beamspace channel estimation mechanism for massive MIMO (multiple input multiple output) antenna
system presents a major process to compensate the 5G spectrum challenges caused by the proliferation of
information from mobile devices. However, this estimation is required to ensure the perfect channel state
information (CSI) for lower amount of Radio Frequency (RF) chains for each beam. In addition, phase
shifter (PS) components used in this estimation need high power to select the beam in the desired direction.
To overcome these limitations, in this work, we propose Regular Scanning Support Detection (RSSD)
based channel estimation mechanism. Moreover, we utilise a 3D lens antenna array having metallic plate
and a switch in our model which compensates the limitation of phase shifters. Simulation results show that
the proposed RSSD based channel estimation surpasses traditional technique and SD based channel
estimation even in lower SNR area which is highly desirable in the millimeter wave (mmWave) massive
MIMO systems.
What is the antenna model in the communication terminal and the radar system ...Antenna Manufacturer Coco
In a communication system or radar system, the antenna model needs to be closely combined with the communication channel or the radar usage scene to work together. This paper studies the communication and radar system simulation compares the antenna models in the two types of systems and summarizes several methods for considering the antenna performance in the current communication terminal and radar system simulation design.
A wireless precoding technique for millimetre-wave MIMO system based on SIC-MMSETELKOMNIKA JOURNAL
A communication method is proposed using Minimum Mean Square Error (MMSE) precoding and Successive Interference Cancellation (SIC) technique for millimetre-wave multiple-input multiple-output (mm-Wave MIMO) based wireless communication system. The mm-Wave MIMO technology for wireless communication system is the base potential technology for its high data transfer rate followed by data instruction and low power consumption compared to Long-Term Evolution (LTE). The mm-Wave system is already available in indoor hotspot and Wi-Fi backhaul for its high bandwidth availability and potential lead to rate of numerous Gbps/user. But, in mobile wireless communication system this technique is lagging because the channel faces relative orthogonal coordination and multiple node detection problems while rapid movement of nodes (transmitter and receiver) occur. To improve the conventional mm-wave MIMO nodal detection and coordination performance, the system processes data using symbolized error vector technique for linearization. Then the MMSE precoding detection technique improves the link strength by constantly fitting the channel coefficients based on number of independent service antennas (M), Signal to Noise Ratio (SNR), Channel Matrix (CM) and mean square errors (MSE). To maintain sequentially encoded user data connectivity and to overcome data loss, SIC method is used in combination with MMSE. MATLAB was used to validate the proposed system performance.
The document proposes a new channel estimation algorithm called ICEA-DA for MIMO-OFDM systems. ICEA-DA uses least squares estimation with discrete Fourier transform and integrates it with a differential evolution technique. It is placed at the central part of the MIMO-OFDM system between the transmitter and receiver blocks. The proposed method is evaluated for a 2x4 MIMO system using QPSK modulation. Results show ICEA-DA provides better performance than existing techniques in terms of bit error rate, peak signal-to-noise ratio, channel capacity, and symbol error rate.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
IRJET- Performance Evaluation of DOA Estimation using MUSIC and Beamformi...IRJET Journal
This document presents a simulation study comparing the MUSIC algorithm and LMS adaptive beamforming algorithm for direction of arrival (DOA) estimation and beamforming in a smart antenna system. The MUSIC algorithm uses eigendecomposition to estimate the DOA of multiple signals and finds the position location of the desired user. The LMS algorithm then adapts the beam pattern by adjusting weights to maximize gain towards the desired user while nulling interference from other directions. The simulation results show sharp peaks in the MUSIC spectrum to accurately locate the desired user and deep nulls in the LMS beam pattern to suppress interference.
SIGNAL DETECTION IN MIMO COMMUNICATIONS SYSTEM WITH NON-GAUSSIAN NOISES BASED...ijwmn
In this paper, we study signal detection in multi-input-multi output (MIMO) communications system with non-Gaussian noises such as Middleton Class A noise, Gaussian mixtures and alpha stable distributions, using several deep neural network-based detector models such as FULLYCONNECTED and DETNET detector. By applying information theoretic criterion of Maximum Correntropy , SVD analysis on the channel matrix and reducing network complexity, the suggested deep neural network detector performs well in environments with non-Gaussian noises and, compared to the deep neural network-based detector with MSE loss function, achieves better performance.
Signal Detection in MIMO Communications System with Non-Gaussian Noises based...ijwmn
In this paper, we study signal detection in multi-input-multi output (MIMO) communications system with non-Gaussian noises such as Middleton Class A noise, Gaussian mixtures and alpha stable distributions, using several deep neural network-based detector models such as FULLYCONNECTED and DETNET detector. By applying information theoretic criterion of Maximum Correntropy , SVD analysis on the channel matrix and reducing network complexity, the suggested deep neural network detector performs well in environments with non-Gaussian noises and, compared to the deep neural network-based detector with MSE loss function, achieves better performance.
This document provides information about a Master of Science thesis titled "Design and implementation of a software module for the Media Server introduction in a Java Call Control development environment". The thesis involves implementing a software module to introduce a Media Server into a Java Call Control (JCC) development environment. The module, developed in Java, allows typical Media Server functionality using MGCP protocol. It integrates easily into a JCC Resource Adaptor and provides a tool for creating multimedia VoIP services in JCC. The document also lists subjects covered in the Msc (Hons) in Telecommunication and Computer Science Engineering program, including areas of telecommunications, automation, electronics, computer science, measurements and quality, and electromagnetic fields.
This document provides an overview of MIMO (Multiple Input Multiple Output) radar. MIMO radar uses multiple transmit and receive antennas. This allows it to achieve higher angular resolution than traditional phased array radars with fewer antennas. MIMO radar works by having receive antennas separately process signals from different transmit antennas, using techniques like time division multiplexing and binary phase modulation. The virtual array concept enables MIMO radar to greatly increase its degrees of freedom beyond the physical number of antennas. Potential applications of MIMO radar include air surveillance, clutter mitigation, and moving target detection.
Iaetsd adaptive modulation in mimo ofdm system for4 gIaetsd Iaetsd
This paper proposes applying hybrid adaptation techniques in MIMO OFDM systems to improve spectral efficiency and reduce transmit power. It first analyzes the bit error rate of M-QAM modulation in OFDM systems with different numbers of subcarriers. Channel estimation is performed using MMSE, which estimates the channel with less error than LS. Feedback from channel estimation is then used with hybrid adaptation techniques. Simulation results show MMSE has lower MSE and symbol errors than LS estimation.
This document summarizes a research paper that proposes and analyzes a beam selection algorithm called Interference Aware - Maximization of SINR (IA-MSS) selection for 5G millimeter-wave MIMO systems. The algorithm aims to maximize signal-to-interference ratio (SINR) by first classifying users into interference users and non-interference users based on their strongest beams, and then selecting beams to minimize multi-user interference while achieving high SINR. Analysis shows the IA-MSS algorithm achieves higher power efficiency than alternatives by exploiting sparse properties of beamspace channels in mmWave massive MIMO.
Performance of the MIMO-MC-CDMA System with MMSE EqualizationTamilarasan N
Multipath fading and spectral crowding are the
major challenges in dealing higher data rate in future
broadband wireless communication system. Multi-carrier
Modulation like Multicarrier code division multiple access
(MC-CDMA) can tackle the problem and provide higher data
rate for future wireless communication system. However,
through a frequency selective fading channel, the subcarriers
in MC-CDMA signal have different amplitude levels and phase
shifts which result in loss of the orthogonality among users
and generates Multiple access interference (MAI). To combat
the MAI, various amplitude and phase equalizing techniques
such as Maximum Ratio Combining (MRC), Equal Gain
Combining (EGC), Orthogonal Restoring Combining (ORC),
Threshold Orthogonal Restoring Combining or Minimum
Mean Square Error (MMSE) may be used. Out of these MMSE
offers better performance since the MMSE criterion is applied
independently on each subcarrier. Further improvement in
performance is possible through space–time block coding,
which offers maximum diversity gain and multiplexing gain.
This paper combines MC-CDMA with MMSE equalization
and space–time block coding which proves to be a powerful
physical layer solution in combating delay spread and inter
symbol interference (ISI).
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Prediction of wireless communication systems in the context of modeling 2-3-4IAEME Publication
This document discusses modeling and predicting the performance of wireless communication systems using multiple antennas.
It begins by introducing MIMO (multiple-input multiple-output) wireless systems and their advantages over single antenna systems. These include increased range, reduced interference, and improved capacity.
The document then analyzes MIMO system performance over flat fading channels with different fading statistics and levels of channel state information. It also discusses measurement results validating the Rayleigh fading assumption and the impact of mutual antenna coupling.
Finally, it covers stochastic channel models for MIMO systems, extending existing SISO models to the MIMO case. It models the correlation between antenna elements using general correlation models and covariance matrices.
An Adaptive Algorithm for MU-MIMO using Spatial Channel ModelCSCJournals
In this paper, Multi User Multiple Input Multiple Output (MU-MIMO) spatial channel model has been implemented for different outdoor environments – Urban Micro, and Urban Macro using MATLAB for finding various parameters like angle of arrival of the user, user direction and the distance between user and access point (AP).
Channel Estimation in MIMO OFDM Systems with Tapped Delay Line ModelIJCNCJournal
The continuous increase in the user demands fornew-generation communication systems, is making the wireless channel more complex and challenging for estimation, developing a simulation model for the channel,and evaluating the performance of different MIMO systems. In this work, a simulation model for multipath fading channels in wireless communication is performed. The model includes a selection of typical Tapped-Delay-Line channel models that can be implemented to reproduce the effects of representative channel distortion and interference. Based on the simulation results, the proposed method exhibits accurate channel estimation performance for frequency-selective fading channels. The proposed work employed LS, MMSE, and ML methods for channel estimation, using 16 and 32 pilots and fixed pilot locations in each frame. Results are obtained for 4x4, 8x8, 16x16, 16x8, and 16x4 MIMO systems and tapped delay line systems.
Channel Estimation in MIMO OFDM Systems with Tapped Delay Line ModelIJCNCJournal
The continuous increase in the user demands fornew-generation communication systems, is making the wireless channel more complex and challenging for estimation, developing a simulation model for the channel,and evaluating the performance of different MIMO systems. In this work, a simulation model for multipath fading channels in wireless communication is performed. The model includes a selection of typical Tapped-Delay-Line channel models that can be implemented to reproduce the effects of representative channel distortion and interference. Based on the simulation results, the proposed method exhibits accurate channel estimation performance for frequency-selective fading channels. The proposed work employed LS, MMSE, and ML methods for channel estimation, using 16 and 32 pilots and fixed pilot locations in each frame. Results are obtained for 4x4, 8x8, 16x16, 16x8, and 16x4 MIMO systems and tapped delay line systems.
Error Rate Analysis of MIMO System Using V Blast Detection Technique in Fadin...IJERA Editor
Wireless communication system with multi- antenna arrays has been a field of intensive analysis on the last years. The appliance of multiple sending antennas and Receiving Antennas either side will considerably enhance the data rate and rate. The review of the performance limitations of MIMO system becomes vital since it will provide lot ideas in understanding and planning the important life MIMO systems. Vertical Bell Laboratories layered space Time (V-BLAST). The thought behind Multiple Input and Multiple Output system is that the signals on the transmitter antennas at one finish and also the receiver antennas at the opposite finish are correlative in such how that the performance (Bit Error Rate or BER) or the info rate (bits/sec) of the wireless communication system for every MIMO subscriber are improved. During this paper we tend to are proposing a technique that evaluates the performance of V-BLAST MIMO system in several thought of Rayleigh attenuation surroundings to urge higher performance of the system. In V- BLAST MIMO system a number of linear detection techniques will be used for interference cancellation. At this point we are using MMSE-IC for the same. Our expected system provide higher error rate performance with the used of matched filter at receiver aspect .The projected system compared within the presence of AWGN. Now matched filter applied on V- BLAST MIMO with MMSE-IC system in fading diversity surroundings.
Classical Discrete-Time Fourier TransformBased Channel Estimation for MIMO-OF...IJCSEA Journal
In this document, we look at various time domain channel estimation methods with this constraint of null carriers at spectrumborders.We showin detail howto gauge the importance of the “border effect” depending on the number of null carriers, which may vary from one system to another. Thereby we assess the limit of the technique discussed when the number of null carriers is large. Finally the DFT with the truncated singular value decomposition (SVD) technique is proposed to completely eliminate the impact of the null subcarriers whatever their number. A technique for the determination of the truncation threshold for any MIMO-OFDM system is also proposed.
Initial study and implementation of the convolutional Perfectly Matched Layer...Arthur Weglein
In this report, first steps and results of the implementation of the Convolutional Perfectly
Matched Layer (CPML), for the modeling of the 2D acoustic heterogeneous wave equation
are presented. We also compare the conditions to set to zero, for all angles of incidence, the
reflection coefficient at the interface between two PML media, with the analogous conditions
for the reflection coefficient at an interface between two acoustic media. A side product of the
present work for the M-OSRP is a code to create synthetic data, using Finite-Difference (FD)
methods with PML BCs.
We also provide a short description of the main stages involved in the original Reverse Time
Migration (RTM) algorithm, with focus on the 2D acoustic heterogeneous wave equation. We
include a derivation of the equations of the CPML for the backward propagation of the data,
which is part of the RTM. As far as the authors knowledge, these equations and derivations
have not been reported in the literature. The reason we include the RTM is because the present
report can be considered part of a broader research project whose objective is to compare the
RTM with PML BCs with the Green’s theorem based RTM, developed within the M-OSRP.
Initial study and implementation of the convolutional Perfectly Matched Layer...Arthur Weglein
In this report, first steps and results of the implementation of the Convolutional Perfectly
Matched Layer (CPML), for the modeling of the 2D acoustic heterogeneous wave equation
are presented. We also compare the conditions to set to zero, for all angles of incidence, the
reflection coefficient at the interface between two PML media, with the analogous conditions
for the reflection coefficient at an interface between two acoustic media. A side product of the
present work for the M-OSRP is a code to create synthetic data, using Finite-Difference (FD)
methods with PML BCs.
We also provide a short description of the main stages involved in the original Reverse Time
Migration (RTM) algorithm, with focus on the 2D acoustic heterogeneous wave equation. We
include a derivation of the equations of the CPML for the backward propagation of the data,
which is part of the RTM. As far as the authors knowledge, these equations and derivations
have not been reported in the literature. The reason we include the RTM is because the present
report can be considered part of a broader research project whose objective is to compare the
RTM with PML BCs with the Green’s theorem based RTM, developed within the M-OSRP.
This document reviews the use of machine learning algorithms and techniques for the design and optimization of antennas. It first provides an overview of conventional computational electromagnetics methods used for antenna design like the finite-difference time-domain method, finite element method, and method of moments. It then presents an overview of machine learning, including different learning categories, frameworks, and applications. Next, it discusses regression models built with machine learning algorithms that have been applied for antenna synthesis and analysis. The main part of the document reviews research papers that have used machine learning techniques like neural networks to generate antenna parameters based on desired radiation characteristics. It sorts the investigated antennas by type and configuration to help readers interested in a specific antenna type.
What are drone anti-jamming systems?
The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs.
To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones.
So what is so unique about this amazing system?
LPWA - Low power wide area, short for low power wide area technology, using lower power consumption to achieve long-distance wireless signal transmission.
Compared with the familiar low-power Bluetooth (BLE), Zigbee and Wifi technologies, LPWA has a much longer transmission distance, generally at the kilometre level, and its link budget (link budget) can reach 160dBm, while BLE and Zigbee are generally below 100dBm.
Compared with traditional cellular network technologies (2G, 3G), LPWA has lower power consumption, and battery-powered devices can last for several years. Based on these two distinctive features, LPWA can truly enable the Internet of Things (IoT) revolution.
LPWAN - Low power wide area network, i.e. a wireless connection network built with LPWA technology, LPWAN can be connected in various forms.
More Related Content
Similar to 9 Kinds of Electromagnetic Simulation Software
The document proposes a new channel estimation algorithm called ICEA-DA for MIMO-OFDM systems. ICEA-DA uses least squares estimation with discrete Fourier transform and integrates it with a differential evolution technique. It is placed at the central part of the MIMO-OFDM system between the transmitter and receiver blocks. The proposed method is evaluated for a 2x4 MIMO system using QPSK modulation. Results show ICEA-DA provides better performance than existing techniques in terms of bit error rate, peak signal-to-noise ratio, channel capacity, and symbol error rate.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
IRJET- Performance Evaluation of DOA Estimation using MUSIC and Beamformi...IRJET Journal
This document presents a simulation study comparing the MUSIC algorithm and LMS adaptive beamforming algorithm for direction of arrival (DOA) estimation and beamforming in a smart antenna system. The MUSIC algorithm uses eigendecomposition to estimate the DOA of multiple signals and finds the position location of the desired user. The LMS algorithm then adapts the beam pattern by adjusting weights to maximize gain towards the desired user while nulling interference from other directions. The simulation results show sharp peaks in the MUSIC spectrum to accurately locate the desired user and deep nulls in the LMS beam pattern to suppress interference.
SIGNAL DETECTION IN MIMO COMMUNICATIONS SYSTEM WITH NON-GAUSSIAN NOISES BASED...ijwmn
In this paper, we study signal detection in multi-input-multi output (MIMO) communications system with non-Gaussian noises such as Middleton Class A noise, Gaussian mixtures and alpha stable distributions, using several deep neural network-based detector models such as FULLYCONNECTED and DETNET detector. By applying information theoretic criterion of Maximum Correntropy , SVD analysis on the channel matrix and reducing network complexity, the suggested deep neural network detector performs well in environments with non-Gaussian noises and, compared to the deep neural network-based detector with MSE loss function, achieves better performance.
Signal Detection in MIMO Communications System with Non-Gaussian Noises based...ijwmn
In this paper, we study signal detection in multi-input-multi output (MIMO) communications system with non-Gaussian noises such as Middleton Class A noise, Gaussian mixtures and alpha stable distributions, using several deep neural network-based detector models such as FULLYCONNECTED and DETNET detector. By applying information theoretic criterion of Maximum Correntropy , SVD analysis on the channel matrix and reducing network complexity, the suggested deep neural network detector performs well in environments with non-Gaussian noises and, compared to the deep neural network-based detector with MSE loss function, achieves better performance.
This document provides information about a Master of Science thesis titled "Design and implementation of a software module for the Media Server introduction in a Java Call Control development environment". The thesis involves implementing a software module to introduce a Media Server into a Java Call Control (JCC) development environment. The module, developed in Java, allows typical Media Server functionality using MGCP protocol. It integrates easily into a JCC Resource Adaptor and provides a tool for creating multimedia VoIP services in JCC. The document also lists subjects covered in the Msc (Hons) in Telecommunication and Computer Science Engineering program, including areas of telecommunications, automation, electronics, computer science, measurements and quality, and electromagnetic fields.
This document provides an overview of MIMO (Multiple Input Multiple Output) radar. MIMO radar uses multiple transmit and receive antennas. This allows it to achieve higher angular resolution than traditional phased array radars with fewer antennas. MIMO radar works by having receive antennas separately process signals from different transmit antennas, using techniques like time division multiplexing and binary phase modulation. The virtual array concept enables MIMO radar to greatly increase its degrees of freedom beyond the physical number of antennas. Potential applications of MIMO radar include air surveillance, clutter mitigation, and moving target detection.
Iaetsd adaptive modulation in mimo ofdm system for4 gIaetsd Iaetsd
This paper proposes applying hybrid adaptation techniques in MIMO OFDM systems to improve spectral efficiency and reduce transmit power. It first analyzes the bit error rate of M-QAM modulation in OFDM systems with different numbers of subcarriers. Channel estimation is performed using MMSE, which estimates the channel with less error than LS. Feedback from channel estimation is then used with hybrid adaptation techniques. Simulation results show MMSE has lower MSE and symbol errors than LS estimation.
This document summarizes a research paper that proposes and analyzes a beam selection algorithm called Interference Aware - Maximization of SINR (IA-MSS) selection for 5G millimeter-wave MIMO systems. The algorithm aims to maximize signal-to-interference ratio (SINR) by first classifying users into interference users and non-interference users based on their strongest beams, and then selecting beams to minimize multi-user interference while achieving high SINR. Analysis shows the IA-MSS algorithm achieves higher power efficiency than alternatives by exploiting sparse properties of beamspace channels in mmWave massive MIMO.
Performance of the MIMO-MC-CDMA System with MMSE EqualizationTamilarasan N
Multipath fading and spectral crowding are the
major challenges in dealing higher data rate in future
broadband wireless communication system. Multi-carrier
Modulation like Multicarrier code division multiple access
(MC-CDMA) can tackle the problem and provide higher data
rate for future wireless communication system. However,
through a frequency selective fading channel, the subcarriers
in MC-CDMA signal have different amplitude levels and phase
shifts which result in loss of the orthogonality among users
and generates Multiple access interference (MAI). To combat
the MAI, various amplitude and phase equalizing techniques
such as Maximum Ratio Combining (MRC), Equal Gain
Combining (EGC), Orthogonal Restoring Combining (ORC),
Threshold Orthogonal Restoring Combining or Minimum
Mean Square Error (MMSE) may be used. Out of these MMSE
offers better performance since the MMSE criterion is applied
independently on each subcarrier. Further improvement in
performance is possible through space–time block coding,
which offers maximum diversity gain and multiplexing gain.
This paper combines MC-CDMA with MMSE equalization
and space–time block coding which proves to be a powerful
physical layer solution in combating delay spread and inter
symbol interference (ISI).
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Prediction of wireless communication systems in the context of modeling 2-3-4IAEME Publication
This document discusses modeling and predicting the performance of wireless communication systems using multiple antennas.
It begins by introducing MIMO (multiple-input multiple-output) wireless systems and their advantages over single antenna systems. These include increased range, reduced interference, and improved capacity.
The document then analyzes MIMO system performance over flat fading channels with different fading statistics and levels of channel state information. It also discusses measurement results validating the Rayleigh fading assumption and the impact of mutual antenna coupling.
Finally, it covers stochastic channel models for MIMO systems, extending existing SISO models to the MIMO case. It models the correlation between antenna elements using general correlation models and covariance matrices.
An Adaptive Algorithm for MU-MIMO using Spatial Channel ModelCSCJournals
In this paper, Multi User Multiple Input Multiple Output (MU-MIMO) spatial channel model has been implemented for different outdoor environments – Urban Micro, and Urban Macro using MATLAB for finding various parameters like angle of arrival of the user, user direction and the distance between user and access point (AP).
Channel Estimation in MIMO OFDM Systems with Tapped Delay Line ModelIJCNCJournal
The continuous increase in the user demands fornew-generation communication systems, is making the wireless channel more complex and challenging for estimation, developing a simulation model for the channel,and evaluating the performance of different MIMO systems. In this work, a simulation model for multipath fading channels in wireless communication is performed. The model includes a selection of typical Tapped-Delay-Line channel models that can be implemented to reproduce the effects of representative channel distortion and interference. Based on the simulation results, the proposed method exhibits accurate channel estimation performance for frequency-selective fading channels. The proposed work employed LS, MMSE, and ML methods for channel estimation, using 16 and 32 pilots and fixed pilot locations in each frame. Results are obtained for 4x4, 8x8, 16x16, 16x8, and 16x4 MIMO systems and tapped delay line systems.
Channel Estimation in MIMO OFDM Systems with Tapped Delay Line ModelIJCNCJournal
The continuous increase in the user demands fornew-generation communication systems, is making the wireless channel more complex and challenging for estimation, developing a simulation model for the channel,and evaluating the performance of different MIMO systems. In this work, a simulation model for multipath fading channels in wireless communication is performed. The model includes a selection of typical Tapped-Delay-Line channel models that can be implemented to reproduce the effects of representative channel distortion and interference. Based on the simulation results, the proposed method exhibits accurate channel estimation performance for frequency-selective fading channels. The proposed work employed LS, MMSE, and ML methods for channel estimation, using 16 and 32 pilots and fixed pilot locations in each frame. Results are obtained for 4x4, 8x8, 16x16, 16x8, and 16x4 MIMO systems and tapped delay line systems.
Error Rate Analysis of MIMO System Using V Blast Detection Technique in Fadin...IJERA Editor
Wireless communication system with multi- antenna arrays has been a field of intensive analysis on the last years. The appliance of multiple sending antennas and Receiving Antennas either side will considerably enhance the data rate and rate. The review of the performance limitations of MIMO system becomes vital since it will provide lot ideas in understanding and planning the important life MIMO systems. Vertical Bell Laboratories layered space Time (V-BLAST). The thought behind Multiple Input and Multiple Output system is that the signals on the transmitter antennas at one finish and also the receiver antennas at the opposite finish are correlative in such how that the performance (Bit Error Rate or BER) or the info rate (bits/sec) of the wireless communication system for every MIMO subscriber are improved. During this paper we tend to are proposing a technique that evaluates the performance of V-BLAST MIMO system in several thought of Rayleigh attenuation surroundings to urge higher performance of the system. In V- BLAST MIMO system a number of linear detection techniques will be used for interference cancellation. At this point we are using MMSE-IC for the same. Our expected system provide higher error rate performance with the used of matched filter at receiver aspect .The projected system compared within the presence of AWGN. Now matched filter applied on V- BLAST MIMO with MMSE-IC system in fading diversity surroundings.
Classical Discrete-Time Fourier TransformBased Channel Estimation for MIMO-OF...IJCSEA Journal
In this document, we look at various time domain channel estimation methods with this constraint of null carriers at spectrumborders.We showin detail howto gauge the importance of the “border effect” depending on the number of null carriers, which may vary from one system to another. Thereby we assess the limit of the technique discussed when the number of null carriers is large. Finally the DFT with the truncated singular value decomposition (SVD) technique is proposed to completely eliminate the impact of the null subcarriers whatever their number. A technique for the determination of the truncation threshold for any MIMO-OFDM system is also proposed.
Initial study and implementation of the convolutional Perfectly Matched Layer...Arthur Weglein
In this report, first steps and results of the implementation of the Convolutional Perfectly
Matched Layer (CPML), for the modeling of the 2D acoustic heterogeneous wave equation
are presented. We also compare the conditions to set to zero, for all angles of incidence, the
reflection coefficient at the interface between two PML media, with the analogous conditions
for the reflection coefficient at an interface between two acoustic media. A side product of the
present work for the M-OSRP is a code to create synthetic data, using Finite-Difference (FD)
methods with PML BCs.
We also provide a short description of the main stages involved in the original Reverse Time
Migration (RTM) algorithm, with focus on the 2D acoustic heterogeneous wave equation. We
include a derivation of the equations of the CPML for the backward propagation of the data,
which is part of the RTM. As far as the authors knowledge, these equations and derivations
have not been reported in the literature. The reason we include the RTM is because the present
report can be considered part of a broader research project whose objective is to compare the
RTM with PML BCs with the Green’s theorem based RTM, developed within the M-OSRP.
Initial study and implementation of the convolutional Perfectly Matched Layer...Arthur Weglein
In this report, first steps and results of the implementation of the Convolutional Perfectly
Matched Layer (CPML), for the modeling of the 2D acoustic heterogeneous wave equation
are presented. We also compare the conditions to set to zero, for all angles of incidence, the
reflection coefficient at the interface between two PML media, with the analogous conditions
for the reflection coefficient at an interface between two acoustic media. A side product of the
present work for the M-OSRP is a code to create synthetic data, using Finite-Difference (FD)
methods with PML BCs.
We also provide a short description of the main stages involved in the original Reverse Time
Migration (RTM) algorithm, with focus on the 2D acoustic heterogeneous wave equation. We
include a derivation of the equations of the CPML for the backward propagation of the data,
which is part of the RTM. As far as the authors knowledge, these equations and derivations
have not been reported in the literature. The reason we include the RTM is because the present
report can be considered part of a broader research project whose objective is to compare the
RTM with PML BCs with the Green’s theorem based RTM, developed within the M-OSRP.
This document reviews the use of machine learning algorithms and techniques for the design and optimization of antennas. It first provides an overview of conventional computational electromagnetics methods used for antenna design like the finite-difference time-domain method, finite element method, and method of moments. It then presents an overview of machine learning, including different learning categories, frameworks, and applications. Next, it discusses regression models built with machine learning algorithms that have been applied for antenna synthesis and analysis. The main part of the document reviews research papers that have used machine learning techniques like neural networks to generate antenna parameters based on desired radiation characteristics. It sorts the investigated antennas by type and configuration to help readers interested in a specific antenna type.
Similar to 9 Kinds of Electromagnetic Simulation Software (20)
What are drone anti-jamming systems?
The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs.
To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones.
So what is so unique about this amazing system?
LPWA - Low power wide area, short for low power wide area technology, using lower power consumption to achieve long-distance wireless signal transmission.
Compared with the familiar low-power Bluetooth (BLE), Zigbee and Wifi technologies, LPWA has a much longer transmission distance, generally at the kilometre level, and its link budget (link budget) can reach 160dBm, while BLE and Zigbee are generally below 100dBm.
Compared with traditional cellular network technologies (2G, 3G), LPWA has lower power consumption, and battery-powered devices can last for several years. Based on these two distinctive features, LPWA can truly enable the Internet of Things (IoT) revolution.
LPWAN - Low power wide area network, i.e. a wireless connection network built with LPWA technology, LPWAN can be connected in various forms.
After reading the Top 14 IoT Trends to Emerge in 2023 article, you will learn about what the 14 IoT Trends will be happening.
What is IoT?
The Internet of Things (IoT) is a system of connected devices, digital machines, and users with unique identifiers and network transportability that eliminates the need for human-to-human or human-to-machine interaction.
IoT is an important part of the new generation of information technology. Unlike the Internet, the main application objects of IoT are some physical devices, such as vehicles, home appliances, buildings, etc.
By embedding electronic software, sensors and some network connection devices in these physical devices, the exchange of data between devices can be realized, thus establishing a set of interconnected networks.
According to statistics, more than 43 billion devices are currently expected to be connected to the IoT worldwide, which will generate, share, collect and help people use data in a variety of ways.
The 14 most important IoT trends
Here are the 14 most important IoT trends that will change the world in 2023.
The principle and characteristics of GSM and NB-IoT
In this paper, we first analyze the principle and characteristics of GSM and NB-IoT, study the NB-IoT coverage enhancement methods, and compare and analyze the coverage capability of GSM and NB-IoT.
Each cell has a number of carrier frequencies, and each carrier frequency has eight-time slots, which means that eight basic physical channels are provided. In the wireless subsystem, the physical channels support the logical channels, and the physical channels are mapped to different logical channels according to the types of messages transmitted on the physical channels.
NB-IoT WiKi
NB-IoT (Narrowband IoT) is a low-power technology designed for Internet of Things (IoT) applications and other low-data rate communication requirements.
It uses narrowband radio spectrum and advanced power management techniques to efficiently utilize the available spectrum and extend the battery life of IoT devices.
NB-IoT is based on LTE cellular wireless technology and has been standardized by the 3rd Generation Partnership Project (3GPP) as the global wireless communication standard for IoT applications.
LoRa Alliance Extends LoRaWAN Standard to Support the Internet of Things Applications
The LoRa Alliance Extends LoRaWAN Standard to Support IoT Applications by adding TS013-1.0.0, an application programming interface (API) for application payload decoder-encoders (codecs).
The LoRa Alliance reported it on October 25, 2022. The consortium is the global association supporting the Internet of Things (IoT), Low Power Wide Area Network (LPWAN) open LoRaWAN standard.
Adopting the new TS013-1.0.0 specification will allow device manufacturers and application service providers to reduce deployment complexity. This will make it easier and faster to deploy LoRaWAN devices.
After the read, you will know, what is a private 5G network and how a 5G private network works.
What is a private 5G network?
A private 5G network is a wireless network that uses the 5G mobile networking standard and is owned and operated by a single organization, rather than a commercial telecommunications provider. Private 5G networks are often set up for use by a specific business or organization and can be used to provide secure and reliable wireless connectivity for a variety of applications, such as industrial automation, remote monitoring, and more.
Unlike public 5G networks, which are available to anyone with a compatible device, private 5G networks are typically only accessible to authorized users.
A private 5G network is a local area network (LAN) that uses 5G technology to create a private network with unified connectivity, optimized services, and a secure way of communicating within a specific area.
The concept of a Private Network has been around for a long time. In contrast to public networks, which are primarily intended for the general public, private networks exist primarily to address specific industries/needs. The difference between a public network and a private network is that a public network serves the general public, while a private network serves a specific audience.
This article comprehensively explains low-power wide area network (LPWAN) technology for IoT.
IoT communication technologies are divided into two categories: short-range wireless LAN and low-power wireless WAN (LPWAN), Bluetooth, Wi-Fi, ZigBee, etc. are belong to short-range wireless LAN.
LPWAN is mainly used in long-range, low-bandwidth, low-power, and many connection needs of IoT application scenarios, the hottest LoRa in the market in recent years is the most representative technology in LPWAN. LoRa is the most representative technology in LPWAN.
Non-cellular low-power IoT technology solves the problem of large-scale and wide-coverage network connectivity for IoT applications, which makes up for the shortage of traditional cellular technology and promotes the application of IoT and large-scale deployment. Low-power wide-area networks will carry the burden of communication network economies of scale in the future IoT era.
What is wireless 5G LAN?
5G LAN is a LAN built in a 5G network, through which a LAN with mobility can be assembled to meet production and office needs. 5G LAN has the benefit of cross-territory mobility, so even if two people are thousands of miles apart, they can still set up a LAN to achieve Layer 2 and 3 interoperability.
Simply put, 5G LAN uses 5G technology to group and build groups of terminals to form a LAN network. When using 5G cell phones, have you ever noticed that even if you and your friends are close together (even face to face), your phone cannot search each other? You can communicate with each other because the data flow to the carrier or Internet service provider's server around the circle.
What is an internal antenna?
What is an external antenna?
Internal antenna vs. external antenna, What are the difference features?
Internal antenna vs. external antenna, What are the advantages and disadvantages of the internal and external antenna?
Internal antenna vs. external antenna, What are the differences between them?
Internal antenna vs. external antenna in wireless transceiver modules, What are the main antennas used?
Internal antenna vs. external antenna, Which signal is better?
Internal antenna vs. external antenna router
Internal antenna vs. external antenna technical requirements
Internal antenna vs. external antenna, how to choose the suitable antenna?
The Yagi Antenna design is one of the most brilliant antenna designs. How to make a 433MHz Yagi antenna design for a long-range? Is it easy to DIY a Yagi antenna?
DIY Yagi antenna design program
Yagi antenna design is mainly based on the gain requirements after selecting the number of antenna elements, determining the length of each element, and the distance between the elements and other parameters.
Here are the 7 steps of the Yagi antenna design program.
55 Different Types of Antennas With Examples Used in Wireless Communication.pdfAntenna Manufacturer Coco
After the read about these 55 different types of antennas, you will learn about the different types of antennas with examples and their use.
As an important part of wireless communication systems, the antenna plays an irreplaceable role. In our life, there are many types of wireless communication requirements, such as long-distance wireless communication, short-distance wireless communication, satellite wireless communication, microwave wireless communication, cell phone wireless communication, point-to-point wireless communication, point-to-face wireless communication, and so on.
Different wireless communications requirements correspond to the use of different types of antenna wireless communication frequency bands, and different wireless communication systems, so it is necessary to use different types of antennas.
The design and selection of different types of antennas are an important part of designing a wireless transceiver for RF systems. A good RF wireless antenna system can make the communication distance the best state. The size of the same type of antenna is proportional to the wavelength of the RF signal. The lower the signal frequency, the larger the antenna needed.
After the read of WiFi vs. Cellular, Is WiFi Better Than Cellular? You will know:
WiFi vs. Cellular, What is the difference between WiFi and cellular?
WiFi vs. Cellular, Is Wi-Fi better than cellular?
WiFi vs. Cellular, What is a cellular network?
WiFi vs. Cellular, What is a Wi-Fi network?
WiFi vs. Cellular applications
5G WiFi vs. cellular 5G, What is the difference between a 5G network and a 5G WiFi?
Which is better, Wifi or mobile data cellular network?
The important differences between WiFi and cellular networks
Apple watch Wifi vs. cellular, What is the difference between cellular and Wi-Fi Apple Watch?
Wifi Ipad vs. cellular, Is Ipad cellular worth it?
Apple watch Wifi vs. cellular, What is the difference between cellular and Wi-Fi Apple Watch?
Wifi vs. cellular data, Which one do you prefer?
This article takes you through the mobile networks' evolution from 1G to 5G.
The long road of mobile networks' evolution from 1G to 5G.
In the past few years, we have seen the rise of mobile networks. From "1G to 2G, 3G, 4G, and now 5G", the whole process of mobile networks' evolution from 1G to 5G has taken about 30 years.
In the past few years, the web has evolved so much that it's hard to compare it to anything else in this world of web technology. Let's go straight back in time, to 1G where it all began.
After the read, you will know:
What is DTU (Data Transfer unit)?
What is DTU's development history?
What is DTU's working principle?
What is DTU's functional configuration?
What is DTU’s Advantage?
What is DTU's core function?
What is DTU’s extension function?
What is DTU's application?
Application examples of DTU's 7 major industries
What is DTU (Data Transfer unit)?
DTU (Data Transfer unit) is a wireless terminal device specially designed to convert serial data to IP data or convert IP data to serial data for transmission through wireless communication networks. DTU is widely used in meteorology, hydrology and water conservancy, geology, and other industries.
After the read, you will know:
What is a DTU?
What is a DTU’s role?
What is a DTU’s working principle?
What is a DTU product type?
What is a DTU application?
What is the role of 4G DTU?
What is a DTU?
DTU is the abbreviation of Data Terminal Unit (DTU). In a broader sense, the module unit responsible for sending data information at both ends of the transmission link is called DTU, which is responsible for format conversion and data collation, and verification of the transmitted information;
In a narrower sense, DTU generally refers to the lower GSM/UMTS transmitting terminal equipment in wireless communication.
DTU is a kind of wireless terminal equipment specially used to convert serial data into IP data or convert IP data into serial data for transmission through a wireless communication network, which is widely used in meteorology, hydrology and water conservancy, geology, and other industries.
Smart agriculture refers to the use of information technology in farming to intelligently control the whole industrial chain of agricultural production, operation, management, and service, so as to achieve high quality, high efficiency, safety, and controllability of agricultural production. China attaches great importance to the development of smart agriculture, and the development of smart agriculture is the only way to realize modern agriculture.
After the read this What is the Difference Between LTE and Wifi article, you will know:
What is the difference between LTE and wifi network technology;
What is the difference between LTE and wifi network coverage capability;
What is the difference between LTE and wifi network wireless capacity;
What is the difference between LTE and wifi network terminal situation;
What is the difference between LTE and wifi network traffic billing;
Etc.
This article talks about Wifi vs LTE technology, what is the difference between Wi-Fi and LTE?
Over the years, the Internet has become increasingly important in our daily lives. Mobile broadband Cellular / LTE and Wi-Fi can be used to access the Internet and perform activities that require a data connection.
This article talks about the 7 common positioning technologies comparison, GPS positioning, Beidou positioning, base station positioning, Bluetooth positioning, WI-FI positioning, UWB positioning, and RFID positioning comparison.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
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Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
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Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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9 Kinds of Electromagnetic Simulation Software
9 kinds of electromagnetic simulation software and methods, do you know what are they?
There are many different algorithms in computational electromagnetics, such as finite difference
method in time-domain (FDTD), finite integral method in the time domain (FITD), finite element
method (FE), moment method (MoM), boundary element method (BEM), spectral-domain
method (SM), transmission line method (TLM), mode-matching method (MM), transverse
resonance method (TRM), line method (ML) and analytical method, etc.
In the frequency domain, the numerical algorithms are Finite Element Method (FEM - Finite
Element Method), Method of Moments (MoM - Method of Moments), Difference Method (FDM -
Finite Difference Methods), Boundary Element Method (BEM - Boundary Element Method), and
the Transmission-Line-matrix Method (TLM).
In the time domain, the numerical algorithms are Finite Difference Time Domain (FDTD), and
Finite Integration Technology (FIT).
These methods include analytical, semi-analytical, and numerical methods. The numerical
methods are divided into zero-order, first-order, second-order, and high-order methods.
In descending order of resolution, they are finite difference methods in time-domain (FDTD),
transmission line method (TLM), finite integration method in the time domain (FITD), finite
element method (FEM), moment method (MoM), line method (ML), boundary element method
(BEM), spectral-domain method (SM), mode-matching method (MM), transverse resonance
method (TRM), and analytical method.
The analytical method, semi-analytical method, and numerical method were ranked according to
the accuracy of the results from highest to lowest.
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Among the numerical methods, the higher to lower accuracy of the results are higher-order,
second-order, first-order, and zero-order.
Finite difference method in time-domain (FDTD), finite integration method in the time domain
(FITD), finite element method (FEM), moment method (MoM), transmission line method (TLM),
and line method (ML) are purely numerical methods; boundary element method (BEM),
spectral-domain method (SM), mode-matching method (MM), and transverse resonance method
(TRM) are all with high resolution.
The mode matching method (MM) is a semi-analytical method if the transverse mode of the
transmission line is accurately available. Theoretically, the modes can be continuous spectra.
Due to the limitation of numerical solution accuracy, the transverse modes are usually required
to be discrete spectra. This requires the transverse structure to be non-dissipative. In more
general terms, this means a dissipation-free waveguide structure.
In other words, MM is most suitable for waveguide cavities, high Q, and a certain homogeneity of
the structure in one dimension of energy transfer. For example, it is suitable for the analysis of
the coupling of two cylindrical cavities in the height dimension, but not for the analysis of the
coupling between two hoists, because the latter do not have very clear modes involved in energy
exchange, and one can only consider a large number of modes together, which reduces the utility
of MM.
The finite element method (FEM) is a first-order purely numerical method (if first-order elements
are used). It is applicable to any shape of the structure and is a general method. But things are
always divided into two.
In general, general-purpose methods will not be as efficient as special methods in special
applications. For the high Q cavity filter design, MM is much better than FEM.
With the influence of computational electromagnetics in engineering applications, there is more
and more commercial EM analysis software with intelligent operation interfaces, which makes it
more convenient and intuitive for designers to design filters, antennas, and target EM
characteristics.
Microwave software based on the finite element method, including ANSYS HFSS
Electromagnetic Simulation Software 1, Ansys HFSS
ANSYS HFSS is the world's first commercially available three-dimensional structural
electromagnetic field simulation software, and is recognized as the industry standard for
three-dimensional electromagnetic field design and analysis.
HFSS provides a simple and intuitive user design interface, a precise and adaptive field solver, and
a powerful post-processor with unprecedented electrical performance analysis capabilities to
calculate the S-parameters and full-wave EMF of any shaped 3D passive structure.
HFSS software has powerful antenna design functions, and the filter microcomputer thinks it can
calculate antenna parameters, such as gain, directivity, far-field directional map profile, far-field
3D map, and 3dB bandwidth; plot polarization characteristics, including spherical field
components, circularly polarized field components, Ludwig third defined field components and
axis ratio. Using HFSS, it is possible to calculate.
① Numerical solutions and open boundary problems for basic electromagnetic fields, near and
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far-field radiation problems;
② Port characteristic impedance and transmission constants;
③ S-parameters and normalized S-parameters of the corresponding port impedances;
④ Eigenmode or resonance solution of the structure. Moreover, Ansys HFSS and Ansys Designer,
the only physical prototype-based high-frequency design solution, provide fast and accurate
design tools from system to circuit to component level, covering all aspects of high-frequency
design.
Microwave software based on the finite integration method includes CST Microwave Studio
Electromagnetic Simulation Software 2, CST MICROWAVE STUDIO
CSY German Computer Simulation Technology launched a high-frequency three-dimensional
electromagnetic field simulation software. Widely used in mobile communications, wireless
communications (Bluetooth systems), signal integration and electromagnetic compatibility, and
other fields.
CST simulation software contains the following main products: CST Microwave Studio, CST Design
Studio, CST EM Studio, and MAFIA (MAFIA).
It is a simulation software for passive microwave devices and antennas, which can simulate
couplers, filters, circulators, isolators, resonant cavities, planar structures, connectors, EMC, IC
packages, all kinds of antennas and antenna arrays, and can give results such as S-parameters,
antenna orientation diagrams, gain, etc.
MICROWAVE STUDIO is simple to use and provides users with intuitive electromagnetic
characteristics for their high-frequency designs.
In addition to the main time-domain solver module, MICROWAVE STUDIO also provides
eigenmode and frequency domain solver modules for some special applications.
The import of CAD files and the extraction of SPICE parameters enhance the design possibilities
and shorten the design time. In addition, the open architecture of MICROWAVE STUDIO provides
links to other simulation software, allowing MICROWAVE STUDIO to be integrated with other
design environments.
The microwave software based on the momentum method includes Microwave Office, ADS,
Ansys Designer, XFDTD, Zeland IE3D, Sonnet, FEKO, etc., as follows.
Electromagnetic Simulation Software 3, Microwave Office
Microwave EDA software from AWR provides the most complete, fastest, and most accurate
solution for microwave planar circuit design.
It is used to simulate and emulate microwave planar circuits through two simulators. For circuits
consisting of aggregate components, the circuit approach is easier to handle;
The software has a "VoltaireXL" simulator to deal with microwave planar circuit problems
consisting of aggregate components. For the specific microstrip geometry of the distributed
parameter microwave planar circuit is composed of the field method is more effective;
The software uses the "EMSight" simulator to deal with any multilayer planar structure with
three-dimensional electromagnetic fields. VoltaireXL" simulator has a library of components that
can be used to model microwave circuits, including passive components such as inductors,
resistors, capacitors, resonant circuits, microstrip lines, ribbon lines, coaxial lines, etc., and
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nonlinear components such as bipolar transistors, field-effect transistors, diodes, etc.
The "EMSight" simulator is a three-dimensional electromagnetic field simulation package for the
analysis of planar high-frequency circuits and antenna structures. It features a combination of
modified spectral-domain momenta and an intuitive windowed graphical user interface (GUI)
technology, making calculations much faster.
MWO can analyze the electrical characteristics of circuits such as radio frequency integrated
circuits (RFICs), microwave monolithic integrated circuits (MMICs), microstrip patch antennas,
and high-speed printed circuits (PCBs).
Electromagnetic Simulation Software 4, ADS
Advanced Design System, a microwave circuit and communication system simulation software
launched by Agilent, is one of the most used software in universities and research institutes in
China.
Its functions are very powerful, simulation means are rich and diverse, can realize including time
domain and frequency domain, digital and analog, linear and nonlinear, noise and other
simulation analysis means, and the design results can be finished rate analysis and optimization,
thus greatly improving the design efficiency of complex circuits, is a very excellent microwave
circuit, system signal link design tools.
The main applications are RF and microwave circuit design, communication system design, DSP
design, and vector simulation.
Electromagnetic Simulation Software 5, Ansys Designer
Ansys is a microwave circuit and communication system simulation software; it uses the latest
windowing technology, is the first high-frequency circuit system, layout, and electromagnetic
field simulation tools seamlessly integrated into the same environment of the design tool.
The key to this integration does not simply interface integration, but Ansys Designer's unique
on-demand solver technology, which allows you to select solvers as needed to achieve complete
control over the design process.
Ansys Designer implements a WYSIWYG automated layout function, and the layout is
automatically synchronized with the schematic, greatly improving the efficiency of layout design.
At the same time, the filter microcomputer that Ansys can also be easily integrated with other
design software, and can be connected to test instruments to complete a variety of design tasks,
such as frequency synthesizers, phase-locked loops, communication systems, radar systems, as
well as amplifiers, mixers, filters, phase shifters, power dividers, synthesizers, and microstrip
antennas.
The main applications are RF and microwave circuit design, communication system design, board
and module design, and component design.
Electromagnetic Simulation Software 6, XFDTD
XFDTD is a 3D full-wave electromagnetic field simulation software based on the finite-difference
time-domain method (FDTD) introduced by Remcom.
The software was first used to simulate cellular phones, long for cell phone antenna and SAR
calculation. Now it is widely used in wireless, microwave circuits, radar scattering calculation,
chemical, optical, land-based alert radars, and biological tissue simulation.
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Electromagnetic Simulation Software 7, Zeland IE3D
IE3D is an EM field simulation tool based on the method of moments, which can solve the
current distribution problem of 3D metal structures in the multi-layer media environment.
IE3D can be divided into three parts: MGRID, MOODUA, and PATTERNVIEW; MGRID is the
pre-processing suite of IE3D, with the functions of establishing the circuit structure, setting the
parameters of substrate and metal material, and setting the simulation parameters;
MOODUA is the core execution suite of IE3D, which can execute the simulation calculation of
electromagnetic field, performance parameters (Smith diagram, S-parameters, etc.) calculation
and execute parameter optimization calculation;
PATTERNVIEW is the post-processing suite of IE3D, which can display the simulation results, EM
field distribution in the form of contour or vector field.
IE3D simulation results include S, Y, Z parameters, VWSR, RLC equivalent circuit, current
distribution, near-field distribution and radiation direction map, directionality, efficiency and RCS,
etc.;
The application scope is mainly in the analysis and design of microwave RF circuits, multilayer
printed circuit boards, planar microstrip antenna design.
Electromagnetic Simulation Software 8, Sonnet
Sonnet is an EM simulation software based on the method of moments, providing EDA tools for
3D planar high-frequency circuit design systems as well as in the field of microwave,
millimeter-wave, and EMC/EMI design.
SonnetTM is applied to planar high-frequency electromagnetic field analysis from 1MHz to
several thousand GHz.
The main applications are microstrip matching networks, microstrip circuits, microstrip filters,
ribbon line circuits, ribbon line filters, vias (connection or grounding of layers), coupled line
analysis, PCB board circuit analysis, PCB board interference analysis, bridge screw inductors,
planar high-temperature superconducting circuit analysis, millimeter-wave integrated circuit
(MMIC) design and analysis, circuit analysis for mixed matching, HDI and LTCC conversion,
accurate analysis of single or multi-layer transmission lines, circuit analysis of multi-layer planar,
analysis of single or multi-layer planar antennas, analysis of planar antenna arrays, analysis of
planar coupled holes, etc.
Electromagnetic Simulation Software 9, FEKO
FEKO is the abbreviation of German Feldberechnung bei Korpern mit beliebiger Oberflache.
FEKO is a powerful 3D full-wave EM simulation software from EMSS and is the first commercial
software in the world to bring the method of moments to market. It is commonly used for
electromagnetic field analysis of complex-shaped 3D objects.
FEKO is a professional EMF analysis software developed for antenna design, antenna layout, and
EMC analysis, based on the classical Method Of Moment (MOM) from the strict EMF integral
equation.
The MLFMM (Multi-Level Fast Multipole Method) algorithm is adopted to greatly improve the
calculation efficiency while maintaining accuracy.
and seamlessly combines the momentum method with the classical high-frequency analysis
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methods (Physical Optics PO: Physical Optics, Uniform Theory of Diffraction UTD: Uniform Theory
of Diffraction).
Thus, it is very suitable for analyzing various electromagnetic field analysis problems in antenna
design, radar scattering cross-section (RCS), open domain radiation, and electromagnetic
compatibility.
The Feko version after 5.0 is even mixed with the Finite Element Method (FEM: Finite Element
Method), which can deal with multi-layer dielectric (such as multi-layer dielectric radome) and
biological absorption rate problems more accurately.
Feko usually deals with the problem in the following way: for electromagnetic field problems
such as antennas with electrically small structures, FEKO uses the full method of moments for the
analysis, which ensures the high accuracy of the results.
For structures with a mixture of small and large electrical dimensions, FEKO can use both the
highly efficient multi-layer fast multipole method based on the method of moments and the
appropriate hybrid method after decomposing the problem (e.g., analyzing the small electrical
structure partly by the method of moments and multi-layer fast multipole, and the large
electrical structure part by the high-frequency method), thus ensuring a perfect combination of
high accuracy and high efficiency, and unparalleled speed and accuracy in dealing with large
electrical dimension problems such as antenna design and RCS calculations.
Using the above technical route, Feko can choose different methods for different specific
problems to carry out fast and accurate simulation analysis, which makes the application more
flexible and applicable to a wider range, breaking through the limitation that a single numerical
calculation method can only be limited to a certain type of electromagnetic problems.
What is free electromagnetic simulation software?
For these 9 kinds of electromagnetic simulation software, they will have the electromagnetic
simulation software free version for the beginners, contact the electromagnetic simulation
software supplier for more details.
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