Node localization is important parameter in WSN. Node localization is required to report origin of
events which makes it one of the important challenges in WSN. Received signal strength (RSS) is used to
calculate distance between mobile node and reference node. The position of the mobile node is calculated using
multilateration algorithm (MA). Extended Kalman filter (EKF) is utilized to estimate the actual position. In this
paper, the implementation and enhancement of a tracking system based on RSS indicator with the aid of an
Extended Kalman Filter (EKF) is described and an adaptive filter is derived.
Investigations on real time RSSI based outdoor target tracking using kalman f...IJECEIAES
Target tracking is essential for localization and many other applications in Wireless Sensor Networks (WSNs). Kalman filter is used to reduce measurement noise in target tracking. In this research TelosB motes are used to measure Received Signal Strength Indication (RSSI). RSSI measurement doesn‟t require any external hardware compare to other distance estimation methods such as Time of Arrival (TOA), Time Difference of Arrival (TDoA) and Angle of Arrival (AoA). Distances between beacon and non-anchor nodes are estimated using the measured RSSI values. Position of the nonanchor node is estimated after finding the distance between beacon and nonanchor nodes. A new algorithm is proposed with Kalman filter for location estimation and target tracking in order to improve localization accuracy called as MoteTrack InOut system. This system is implemented in real time for indoor and outdoor tracking. Localization error reduction obtained in an outdoor environment is 75%.
Comparison of Energy Detection Based Spectrum Sensing Methods over Fading Cha...CSCJournals
With the advance of wireless communications, the problem of bandwidth scarcity has become more prominent. Cognitive radio technology has come out as a way to solve this problem by allowing the unlicensed users to use the licensed bands opportunistically. To sense the existence of licensed users, many spectrum sensing techniques have been devised. This paper presents the energy detection based spectrum sensing technique. In the present work, the comparison of ROC curves has been done for various wireless fading channels using squaring and cubing operation. The improvement has gone as high as up to 0.6 times for AWGN channel and 0.4 times for Rayleigh channel as we go from squaring to cubing operation in an energy detector
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
A SEMI BLIND CHANNEL ESTIMATION METHOD BASED ON HYBRID NEURAL NETWORKS FOR UP...ijwmn
The paper describes how to improve channel estimation in Single Carrier Frequency Division Multiple
Access (SC-FDMA) system, using a Hybrid Artificial Neural Networks (HANN). The 3rd Generation
Partnership Project (3GPP) standards for uplink Long Term Evolution Advanced (LTE-A) uses pilot based
channel estimation technique. This kind of channel estimation method suffers from a considerable loss
ofbitrate due to pilot insertion; all data frame sent contains reference signal. The HANN converts data
aided channel estimator to semi blind channel estimator. To increase convergence speed, HANN uses some
channel propagation Fuzzy Rules to initialize Neural Network parameters before learning instead of a
random initialization, so its learning phase ismore rapidly compared to classic ANN.HANN allows more
bandwidth efficient and less complexity. Simulation results show that HANN has better computational
efficiency than the Minimum Mean Square Error (MMSE) estimator and has faster convergence than
classic Neural Networks estimators.
A Review on Comparison of the Geographic Routing Protocols in MANETEditor IJCATR
In Mobile ad-hoc networks (MANET) with high number of nodes and high mobility the routing of packets is a difficult task. In this paper, we are reviewing different geographic routing protocols as geographic routing are efficient for highly mobile nodes and made the communication scalable. Different protocols compared are The Distance Routing Effect Algorithm (DREAM), Location Aided Routing (LAR) Calculation, Greedy Perimeter Stateless Routing(GPSR) as of late new convention comes which is exceedingly proficient is the Adaptive position update (APU) strategy and further the improved APU strategy and on the basis of performance metrics the protocols are compared and reveals that the Improved APU strategy gives the high packet delivery ratio, lower delay and low energy consumption.
ANALYTICAL PERFORMANCE EVALUATION OF A MIMO FSO COMMUNICATION SYSTEM WITH DIR...optljjournal
MIMO FSO correspondence is examined as of late to build up a hearty correspondence connects within the sight of atmospheric turbulence. In this paper an analytical approach is developed to assess the impact of atmospheric turbulence on BER performance of a MIMO FSO communication system with Q-ary Pulse Position Modulation (QPPM). Examination is exhibited to discover flag to clamor proportion at the yield of an immediate location collector with optical power modulator under strong turbulent condition which is modeled as gamma-gamma distribution. The outcomes demonstrate that the BER performance is emphatically debased because of the impact of atmospheric turbulence. In any case, the execution can be enhanced by expanding the quantity of transmitters, beneficiaries and request of Q in PPM. Results demonstrate that the FSO MIMO framework with M=8, N=4 Q=4 gives the 22 dB improvement at BER of 10-9 .
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Investigations on real time RSSI based outdoor target tracking using kalman f...IJECEIAES
Target tracking is essential for localization and many other applications in Wireless Sensor Networks (WSNs). Kalman filter is used to reduce measurement noise in target tracking. In this research TelosB motes are used to measure Received Signal Strength Indication (RSSI). RSSI measurement doesn‟t require any external hardware compare to other distance estimation methods such as Time of Arrival (TOA), Time Difference of Arrival (TDoA) and Angle of Arrival (AoA). Distances between beacon and non-anchor nodes are estimated using the measured RSSI values. Position of the nonanchor node is estimated after finding the distance between beacon and nonanchor nodes. A new algorithm is proposed with Kalman filter for location estimation and target tracking in order to improve localization accuracy called as MoteTrack InOut system. This system is implemented in real time for indoor and outdoor tracking. Localization error reduction obtained in an outdoor environment is 75%.
Comparison of Energy Detection Based Spectrum Sensing Methods over Fading Cha...CSCJournals
With the advance of wireless communications, the problem of bandwidth scarcity has become more prominent. Cognitive radio technology has come out as a way to solve this problem by allowing the unlicensed users to use the licensed bands opportunistically. To sense the existence of licensed users, many spectrum sensing techniques have been devised. This paper presents the energy detection based spectrum sensing technique. In the present work, the comparison of ROC curves has been done for various wireless fading channels using squaring and cubing operation. The improvement has gone as high as up to 0.6 times for AWGN channel and 0.4 times for Rayleigh channel as we go from squaring to cubing operation in an energy detector
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
A SEMI BLIND CHANNEL ESTIMATION METHOD BASED ON HYBRID NEURAL NETWORKS FOR UP...ijwmn
The paper describes how to improve channel estimation in Single Carrier Frequency Division Multiple
Access (SC-FDMA) system, using a Hybrid Artificial Neural Networks (HANN). The 3rd Generation
Partnership Project (3GPP) standards for uplink Long Term Evolution Advanced (LTE-A) uses pilot based
channel estimation technique. This kind of channel estimation method suffers from a considerable loss
ofbitrate due to pilot insertion; all data frame sent contains reference signal. The HANN converts data
aided channel estimator to semi blind channel estimator. To increase convergence speed, HANN uses some
channel propagation Fuzzy Rules to initialize Neural Network parameters before learning instead of a
random initialization, so its learning phase ismore rapidly compared to classic ANN.HANN allows more
bandwidth efficient and less complexity. Simulation results show that HANN has better computational
efficiency than the Minimum Mean Square Error (MMSE) estimator and has faster convergence than
classic Neural Networks estimators.
A Review on Comparison of the Geographic Routing Protocols in MANETEditor IJCATR
In Mobile ad-hoc networks (MANET) with high number of nodes and high mobility the routing of packets is a difficult task. In this paper, we are reviewing different geographic routing protocols as geographic routing are efficient for highly mobile nodes and made the communication scalable. Different protocols compared are The Distance Routing Effect Algorithm (DREAM), Location Aided Routing (LAR) Calculation, Greedy Perimeter Stateless Routing(GPSR) as of late new convention comes which is exceedingly proficient is the Adaptive position update (APU) strategy and further the improved APU strategy and on the basis of performance metrics the protocols are compared and reveals that the Improved APU strategy gives the high packet delivery ratio, lower delay and low energy consumption.
ANALYTICAL PERFORMANCE EVALUATION OF A MIMO FSO COMMUNICATION SYSTEM WITH DIR...optljjournal
MIMO FSO correspondence is examined as of late to build up a hearty correspondence connects within the sight of atmospheric turbulence. In this paper an analytical approach is developed to assess the impact of atmospheric turbulence on BER performance of a MIMO FSO communication system with Q-ary Pulse Position Modulation (QPPM). Examination is exhibited to discover flag to clamor proportion at the yield of an immediate location collector with optical power modulator under strong turbulent condition which is modeled as gamma-gamma distribution. The outcomes demonstrate that the BER performance is emphatically debased because of the impact of atmospheric turbulence. In any case, the execution can be enhanced by expanding the quantity of transmitters, beneficiaries and request of Q in PPM. Results demonstrate that the FSO MIMO framework with M=8, N=4 Q=4 gives the 22 dB improvement at BER of 10-9 .
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Analyzing the performance of the dynamicIJCNCJournal
In this paper, we are focused to analyse the performance of the two dimensional dynamic
Position Location and Tracking (PL&T) of mobile nodes. The architecture of the dynamic PL&T
is developed based on determining the potential zone of the target node (s) and then tracking
using the triangulation. We assume that the nodes are mobile and have one omnidirectional
antenna per node. The network architecture under consideration is cluster based Mobile Ad Hoc
Network (MANET) where at an instance of time, three nodes are used as reference nodes to track
target node(s) using triangulation method. The novel approach in this PL&T tracking method is
the “a priori” identification of the zone of the target node(s) within a circle with a reasonable
radios, and then placing the three reference nodes for the zone such that a good geometry is
created between the reference nodes and the target nodes to improve the accuracy of
triangulation method. The geometry of the reference nodes’ triangle is closer to equilateral
triangle and all potential target nodes are inside the circle. We establish the fact that when the
target node is moving linearly, the predictive method of zone finding is sufficient to track the
target node accurately. However, when the target node changes the direction, the predictive
method of zone finding will fail and we need to place the three references outside the zone such
that proper geometry with no one angle is less than 30 degrees is maintained to get accurate
PL&T location of the target node at each instance of time. The new zone is always formed for
each instance of time prior to triangulation.
In this paper, we demonstrate the accuracy of integrated zone finding and triangulation for
detecting the PL&T location the node at each instance of time within 1.5 foot accuracy. It should
be noted that as the target node is tracked continuously by applying the integrated zone finding
and triangulation algorithm at different instances of time, one foot accuracy can no longer be
maintained. Periodically, the good PL&T data on each node has to be established by
reinitializing the PL&T locations of the nodes including those that are used as reference nodes.
In this paper, the performance of the dynamic PL&T system is derived using Additive White
Gaussian Noise (AWGN) channel; and using AWGN plus Multi-path fading channel. The impact
of multipath fading on tracking accuracy is analysed using Rician Fading channel for MANET
applications outdoors. Our real time simulations show the PL&T tracking accuracy for the
mobile target nodes in both cases to be within 1.5 foot accuracy.
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Routing in All-Optical Networks Using Recursive State Space Techniquesipij
In this papr, we have minimized the effects of failures on network performace, by using suitable Routing
and Wavelenghth Assignment(RWA) method without disturbing other performance criteria such as blocking
probability(BP) and network management(NM). The computation complexity is reduced by using Kalaman
Filter(KF) techniques. The minimum reconfiguration probability routing (MRPR) algorithm must be
able to select most reliable routes and assign wavelengths to connections in a manner that utilizes the light
path(LP) established efficiently considering all possible requests.
Performance improvement for papr reduction in lte downlink system with ellipt...IJCNCJournal
This paper is concerned with the performance improvement of PAPR reduction of orthogonal frequency division multiplexing (OFDM) signal using amplitude clipping & filtering based design. Note that OFDM is one of the well adept multi-carrier multiplexing transmission scheme which has been implemented in long term evolution (LTE) downlink. Nonetheless peak to average power ratio (PAPR) is the more rattling problem with OFDM, consequently in this paper a reduction procedure of the PAPR by using amplitude clipping and filtering is proposed. Here we used IIR bandpass elliptic filter after amplitude clipping to
reduce the PAPR. The performance of the system in terms of bit error rate (BER) is also canvased as a new
filter based clipping method. Our results show that the proposed methodology of clipping method with the
IIR elliptic band pass filter significantly reduces the PAPR value.
An Efficient Performance of Mimo - Ofdm Based Cognitieve Radio System for Arr...IOSR Journals
Abstract: The wireless channel is central within this context, thus estimating the channel is the key to make CR operational, taking in consideration that the transmission-reception technology is available. In this thesis, we design a MIMO system using OFDM modulation technology to transmit and receive two signals over the mobile wireless channel. First formulate the pilot design as a new optimization problem. We use MIMO concept to enhance system capacity and robustness of the wireless transmission. In Multi-Input Multi-Output (MIMO) based cognitive radio (CR) systems, with the increasing demand for data rate and reliability in Wireless communicationsand devices, several issues become very important like bandwidth efficiency, quality of service and radio coverage. In this new scheme, adaptive arrays are group-selected in the spatial domain. Simulation shows that the proposed system can get significant performance improvements over the conventional array based OFDM systems over frequency-selective multipath fading channels with cognitive radio (CR) system. Keywords: Cognitive radios, MIMO, OFDM, and Joint transmit and receive group selected arrays.
Design a mobile telephone system in a certain cityeSAT Journals
Abstract
A mobile telephone system is designed to facilitate better communication among 8000 users in the centre of Roma. The network
performance prediction tool was used to determine the best location for deployment of the base station. It was based on some
parameters or predictions which were obtained by calculating needed data to construct the base station.
Theoretically call planning, cell splitting, frequency re-use, offered traffic etc. techniques are used to obtain a good coverage for
a certain city. In order to find the best cell cluster, many calculations were also implemented.
The objective achieved was designing a network system in city centre of Roma. The 7 cell cluster and 12 cell cluster was selected
for its overall efficiency. In addition to this, co-channel interference, best server, maximum received power etc. were examined for
deployment of the base station with help of Winprop.
Key Words:Mobile telephone system, Cell cluster, Frequency re-use, Network performance, Power,Winprop.
Network-based UE mobility estimation in mobile networksPopescu Dalia
The co-existence of small cells and macro cells is a key feature of 4G and future networks. This heterogeneity with the increased mobility of user devices can generate a high handover frequency that could lead to unreasonably high call drop probability or poor user experience. By performing smart mobility management, the network can pro-actively adapt to the user and guarantee seamless and smooth cell transitions. In this work, we demonstrate how sounding reference signal (SRS) measurements available at the base station (a.k.a. eNodeB in 4G systems) can be used with a low computational requirement to estimate the mobility level of the user and with no modification at the user device/equipment (UE) side. The performance of the algorithm is showcased using realistic data and mobility traces. Results show that the classification of UE’s speed to the three mobility classes can be achieved with accuracy of 87% for low mobility, 93% for medium mobility and 94% for high mobility, respectively.
Research on Space Target Recognition Algorithm Based on Empirical Mode Decomp...Nooria Sukmaningtyas
The space target recognition algorithm, which is based on the time series of radar cross section
(RCS), is proposed in this paper to solve the problems of space target recognition in the active radar
system. In the algorithm, EMD method is applied for the first time to extract the eigen of RCS time series.
The normalized instantaneous frequencies of high-frequency intrinsic mode functions obtained by EMD are
used as the eigen values for the recognition, and an effective target recognition criterion is established.
The effectiveness and the stability of the algorithm are verified by both simulation data and real data. In
addition, the algorithm could reduce the estimation bias of RCS caused by inaccurate evaluation, and it is
of great significance in promoting the target recognition ability of narrow-band radar in practice.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Analyzing the performance of the dynamicIJCNCJournal
In this paper, we are focused to analyse the performance of the two dimensional dynamic
Position Location and Tracking (PL&T) of mobile nodes. The architecture of the dynamic PL&T
is developed based on determining the potential zone of the target node (s) and then tracking
using the triangulation. We assume that the nodes are mobile and have one omnidirectional
antenna per node. The network architecture under consideration is cluster based Mobile Ad Hoc
Network (MANET) where at an instance of time, three nodes are used as reference nodes to track
target node(s) using triangulation method. The novel approach in this PL&T tracking method is
the “a priori” identification of the zone of the target node(s) within a circle with a reasonable
radios, and then placing the three reference nodes for the zone such that a good geometry is
created between the reference nodes and the target nodes to improve the accuracy of
triangulation method. The geometry of the reference nodes’ triangle is closer to equilateral
triangle and all potential target nodes are inside the circle. We establish the fact that when the
target node is moving linearly, the predictive method of zone finding is sufficient to track the
target node accurately. However, when the target node changes the direction, the predictive
method of zone finding will fail and we need to place the three references outside the zone such
that proper geometry with no one angle is less than 30 degrees is maintained to get accurate
PL&T location of the target node at each instance of time. The new zone is always formed for
each instance of time prior to triangulation.
In this paper, we demonstrate the accuracy of integrated zone finding and triangulation for
detecting the PL&T location the node at each instance of time within 1.5 foot accuracy. It should
be noted that as the target node is tracked continuously by applying the integrated zone finding
and triangulation algorithm at different instances of time, one foot accuracy can no longer be
maintained. Periodically, the good PL&T data on each node has to be established by
reinitializing the PL&T locations of the nodes including those that are used as reference nodes.
In this paper, the performance of the dynamic PL&T system is derived using Additive White
Gaussian Noise (AWGN) channel; and using AWGN plus Multi-path fading channel. The impact
of multipath fading on tracking accuracy is analysed using Rician Fading channel for MANET
applications outdoors. Our real time simulations show the PL&T tracking accuracy for the
mobile target nodes in both cases to be within 1.5 foot accuracy.
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Routing in All-Optical Networks Using Recursive State Space Techniquesipij
In this papr, we have minimized the effects of failures on network performace, by using suitable Routing
and Wavelenghth Assignment(RWA) method without disturbing other performance criteria such as blocking
probability(BP) and network management(NM). The computation complexity is reduced by using Kalaman
Filter(KF) techniques. The minimum reconfiguration probability routing (MRPR) algorithm must be
able to select most reliable routes and assign wavelengths to connections in a manner that utilizes the light
path(LP) established efficiently considering all possible requests.
Performance improvement for papr reduction in lte downlink system with ellipt...IJCNCJournal
This paper is concerned with the performance improvement of PAPR reduction of orthogonal frequency division multiplexing (OFDM) signal using amplitude clipping & filtering based design. Note that OFDM is one of the well adept multi-carrier multiplexing transmission scheme which has been implemented in long term evolution (LTE) downlink. Nonetheless peak to average power ratio (PAPR) is the more rattling problem with OFDM, consequently in this paper a reduction procedure of the PAPR by using amplitude clipping and filtering is proposed. Here we used IIR bandpass elliptic filter after amplitude clipping to
reduce the PAPR. The performance of the system in terms of bit error rate (BER) is also canvased as a new
filter based clipping method. Our results show that the proposed methodology of clipping method with the
IIR elliptic band pass filter significantly reduces the PAPR value.
An Efficient Performance of Mimo - Ofdm Based Cognitieve Radio System for Arr...IOSR Journals
Abstract: The wireless channel is central within this context, thus estimating the channel is the key to make CR operational, taking in consideration that the transmission-reception technology is available. In this thesis, we design a MIMO system using OFDM modulation technology to transmit and receive two signals over the mobile wireless channel. First formulate the pilot design as a new optimization problem. We use MIMO concept to enhance system capacity and robustness of the wireless transmission. In Multi-Input Multi-Output (MIMO) based cognitive radio (CR) systems, with the increasing demand for data rate and reliability in Wireless communicationsand devices, several issues become very important like bandwidth efficiency, quality of service and radio coverage. In this new scheme, adaptive arrays are group-selected in the spatial domain. Simulation shows that the proposed system can get significant performance improvements over the conventional array based OFDM systems over frequency-selective multipath fading channels with cognitive radio (CR) system. Keywords: Cognitive radios, MIMO, OFDM, and Joint transmit and receive group selected arrays.
Design a mobile telephone system in a certain cityeSAT Journals
Abstract
A mobile telephone system is designed to facilitate better communication among 8000 users in the centre of Roma. The network
performance prediction tool was used to determine the best location for deployment of the base station. It was based on some
parameters or predictions which were obtained by calculating needed data to construct the base station.
Theoretically call planning, cell splitting, frequency re-use, offered traffic etc. techniques are used to obtain a good coverage for
a certain city. In order to find the best cell cluster, many calculations were also implemented.
The objective achieved was designing a network system in city centre of Roma. The 7 cell cluster and 12 cell cluster was selected
for its overall efficiency. In addition to this, co-channel interference, best server, maximum received power etc. were examined for
deployment of the base station with help of Winprop.
Key Words:Mobile telephone system, Cell cluster, Frequency re-use, Network performance, Power,Winprop.
Network-based UE mobility estimation in mobile networksPopescu Dalia
The co-existence of small cells and macro cells is a key feature of 4G and future networks. This heterogeneity with the increased mobility of user devices can generate a high handover frequency that could lead to unreasonably high call drop probability or poor user experience. By performing smart mobility management, the network can pro-actively adapt to the user and guarantee seamless and smooth cell transitions. In this work, we demonstrate how sounding reference signal (SRS) measurements available at the base station (a.k.a. eNodeB in 4G systems) can be used with a low computational requirement to estimate the mobility level of the user and with no modification at the user device/equipment (UE) side. The performance of the algorithm is showcased using realistic data and mobility traces. Results show that the classification of UE’s speed to the three mobility classes can be achieved with accuracy of 87% for low mobility, 93% for medium mobility and 94% for high mobility, respectively.
Research on Space Target Recognition Algorithm Based on Empirical Mode Decomp...Nooria Sukmaningtyas
The space target recognition algorithm, which is based on the time series of radar cross section
(RCS), is proposed in this paper to solve the problems of space target recognition in the active radar
system. In the algorithm, EMD method is applied for the first time to extract the eigen of RCS time series.
The normalized instantaneous frequencies of high-frequency intrinsic mode functions obtained by EMD are
used as the eigen values for the recognition, and an effective target recognition criterion is established.
The effectiveness and the stability of the algorithm are verified by both simulation data and real data. In
addition, the algorithm could reduce the estimation bias of RCS caused by inaccurate evaluation, and it is
of great significance in promoting the target recognition ability of narrow-band radar in practice.
“Study The Different Parameters of Sewage Treatment With UASB & SBR Technolog...IOSR Journals
Abstract: Every community produces both liquid and solid wastes and air emissions. The liquid wastewastewater-is
essentially the water supply of the community after it has been used in a variety of applications.
From the standpoint of sources of generation, wastewater may be defined as a combination of the liquid or
water-carried wastes removed from residences, institutions, commercial and industrial establishments, together
with such groundwater, surfacewater and stromwater as may be present. This waste water through sewer comes
to the sewage treatment plant so that parameters are reduced and treated wastewater be disposed into water or
land. For treating the sewage UASB( UP FLOW ANAEROBIC SLUDGE BLANKET) and SBR(SEQUENCING
BATCH REACTOR) technologies are mostly used.
All the parameters of these samples were analyzed using standard methods prescribed in “Standard methods for
examination of water and wastewater”. It was observed that pH & temperature values at outlet by both the
processes are almost same. Reading were taking on two consecutive days and value of Biochemical Oxygen
Demand by UASB process was 32, 32mg/l and by SBR process was 11, 16mg/l. Chemical oxygen Demand by
UASB process was 112, 96mg/l and by SBR process was 32, 34mg/l. Total Suspended Solids by UASB process
was 58, 44mg/l and by SBR process was 10, 12mg/l. Both the processes were used for treating the wastewater
and the SBR process showed better results as comparative to UASB.
Design of MEMS capacitive accelerometer with different perforated proof- mass...IOSR Journals
This work represents a study of perforated proof mass of a micro fabricated accelerometer with
different perforation shapes, by application of load stress and displacement is measuredto know the deflection and
flexibility of the proof mass. Perforation shapes of proof mass of capacitive accelerometer affects the sensitivity and
other performance parameters of accelerometer.Eigen frequency analysis is done to know the stress and
displacement distribution on vibrating proof mass which are used to measure and compare the sensitivity and
mechanical strength of proof mass. As a result of this study it has been found that the proof mass with perforation
shape of nozzle/diffuser is the most efficient perforation shape to get better performance from an capacitive micro
fabricated accelerometers.
Simulation of Signals with Field Signal SimulatorIOSR Journals
Abstract: In the recent trends the field signal processing is an emerging technology for data acquisition systems, controlling application systems and automation system in real time environment. Versa Modular European (VME) and CRIO based hardware to simulate the field signals for the computer based control and instrumentation panel. Simulator is used to transmit multiple number of signals at a time. FSS software is a generic software to simulate the field signals for a computer based control and instrumentation system. Its general purpose nature easily extends its capabilities to build and perform unit under test(UUT’s) ATP specific test routines. Field signal simulator (FSS)is also an Automatic Testing Equipment (ATE). The main the Scope of this project covers real time computer (RTC) systems used for Signal Processing & Control application and the simulation techniques used to achieve automation by testing these RTC systems. It also includes RTC hardware and the software used for process & control applications. Simulation hardware & software used to test VME system is also included in the scope of this study.
CHANNEL ESTIMATION AND MULTIUSER DETECTION IN ASYNCHRONOUS SATELLITE COMMUNIC...ijwmn
In this paper, we propose a new method of channel estimation for asynchronous additive white Gaussian noise channels in satellite communications. This method is based on signals correlation and multiuser interference cancellation which adopts a successive structure. Propagation delays and signals amplitudes are jointly estimated in order to be used for data detection at the receiver. As, a multiuser detector, a single stage successive interference cancellation (SIC) architecture is analyzed and integrated to the channel estimation technique and the whole system is evaluated. The satellite access method adopted is the direct sequence code division multiple access (DS CDMA) one. To evaluate the channel estimation and the detection technique, we have simulated a satellite uplink with an asynchronous multiuser access.
Path Loss Prediction by Robust Regression Methodsijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
IMPROVEMENT OF LTE DOWNLINK SYSTEM PERFORMANCES USING THE LAGRANGE POLYNOMIAL...IJCNCJournal
To achieve a high speed data rate, higher spectral efficiency, improved services and low latency the 3rd
generation partnership project designed LTE standard (Long Term Evolution).the LTE system employs
specific technical as well the technical HARQ, MIMO transmission, OFDM Access or estimation technical.
In this paper we focus our study on downlink LTE channel estimation and specially the interpolation which
is the basis of the estimation of the channel coefficients. Thus, we propose an adaptive method for polynomial interpolation based on Lagrange polynomial. We perform the Downlink LTE system MIMO transmission then compare the obtained results with linear, Sinus Cardinal and polynomial Newton Interpolations. The simulation results show that the Lagrange method outperforms system performance in term of Block Error Rate (BLER) , throughput and EVN(%)vs. Signal to Noise Ratio (SNR).
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
At this present scenario, the demand of the system capacity is very high in wireless network. MIMO
technology is used from the last decade to provide this requirement for wireless network antenna
technology. MIMO channels are mostly used for advanced antenna array technology. But it is most
important to control the error rate with enhanced system capacity in MIMO for present-day progressive
wireless communication. This paper explores the frame error rate with respect to different path gain of
MIMO channel. This work has been done in different fading scenario and produces a comparative analysis
of MIMO on the basis of those fading models in various conditions. Here, it is to be considered that
modulation technique as QPSK to observe these comparative evaluations for different Doppler frequencies.
From the comparative analysis, minimum amount of frame error rate is viewed for Rician distribution at
LOS path Doppler shift of 0 Hz. At last, this work is concluded with a comparative bit error rate study on
the basis of singular parameters at different SNR levels to produce the system performance for uncoded
QPSK modulation.
AN ANALYSIS OF THE KALMAN, EXTENDED KALMAN, UNCENTED KALMAN AND PARTICLE FILT...sipij
Tracking the Direction of Arrival (DOA) Estimation of a multiple moving sources is a significant task
which has to be performed in the field of navigation, RADAR, SONAR, Wireless Sensor Networks (WSNs)
etc. DOA of the moving source is estimated first, later the estimated DOA using Estimation of Signal
Parameters via Rotational Invariance Technique (ESPRIT) is used as an initial value and will be provided
to any of the Kalman filter (KF), Extended Kalman filter (EKF), Uncented Kalman filter (UKF) and
Particle filter (PF) algorithms to track the moving source based on the motion model governing the motion
of the source. ESPRIT algorithm used for the estimation of the DOA is accurate but computationally
complex. The present comparative study deals with analysis of tracking the DOA Estimation Of Noncoherent,
Narrowband moving sources under different scenarios. The KF (Kalman Filter) is used when the
linear motion model corrupted by Gaussian noise, The Extended Kalman Filter (EKF), an approximated
and non-linear version of the KF is used whenever the motion model is slightly non-linear but corrupted by
Gaussian noise. The process of linearization involves the explicit computation of Jacobian and
approximation using Taylor’s series is computationally complex and expensive. The computationally
complex and expensive procedures of EKF viz explicit computation of Jacobian and approximation using
Taylor series are disadvantageous. In order to minimize the disadvantages of EKF are overcomed by the
usage of UKF, which uses a transform technique viz Unscented Transform to linearize the non-linear
model corrupted by Gaussian noise and Particle Filter (PF) Algorithms are used when the resultant model
is highly non-linear and is corrupted by non-Gaussian noise. Further the literature is concluded with
appropriate findings based on the results of the studies of different algorithms in different scenarios carried
out.
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because of the advantages of electronic focusing and steering. Propagation of ultrasound in biological tissues is
of nonlinear in nature. But linear approximation in far-field is promising solution to model and simulate the
real time ultrasound wave propagation. The simulation of ultrasound imaging using linear acoustics has been
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standard tool in ultrasound research. . In this paper the ultrasound field generated from linear array transducer
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Turbo Detection in Rayleigh flat fading channel with unknown statisticsijwmn
The turbo detection of turbo coded symbols over correlated Rayleigh flat fading channels generated
according to Jakes’ model is considered in this paper. We propose a method to estimate the channel
signal-to-noise ratio (SNR) and the maximum Doppler frequency. These statistics are required by
the linear minimum mean squared error (LMMSE) channel estimator. To improve the system convergence, we redefine the channel reliability factor by taking into account the channel estimation
error statistics. Simulation results for rate 1/3 turbo code and two different normalized fading rates
show that the use of the new reliability factor greatly improves the performance. The improvement
is more substantial when channel statistics are unknown.
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.
Signal Strength Evaluation of a 3G Network in Owerri Metropolis Using Path Lo...Onyebuchi nosiri
Abstract: In this work, the path loss and the received signal strength of a 3G network at 2.1GHz was evaluated to determine its performance within the Owerri metropolis. Various measuring equipment such as Transmission Evaluation and Monitoring System (TEMS 11), Global positioning system (BU353 GPS) and laptop were deployed for the drive test within the selected urban and sub-urban regions. From the data collected, Owerri sub-urban region showed poor received signal power level compared to the Owerri urban region. The path loss exponents computed for the Owerri urban and sub-urban regions are 3.24 and 4.34 respectively, the mean square error was evaluated as 1.96 and 1.68. The result obtained showed deviations between the compared existing models (Hata and Cost 231) and the proposed models. However, the slope of the Hata plot was relatively close in comparison to the proposed model than that of Cost 231; hence, the proposed model was best suited for the environment followed by the Hata model.
Signal Strength Evaluation of a 3G Network in Owerri Metropolis Using Path Lo...Onyebuchi nosiri
Abstract: In this work, the path loss and the received signal strength of a 3G network at 2.1GHz was evaluated to determine its performance within the Owerri metropolis. Various measuring equipment such as Transmission Evaluation and Monitoring System (TEMS 11), Global positioning system (BU353 GPS) and laptop were deployed for the drive test within the selected urban and sub-urban regions. From the data collected, Owerri sub-urban region showed poor received signal power level compared to the Owerri urban region. The path loss exponents computed for the Owerri urban and sub-urban regions are 3.24 and 4.34 respectively, the mean square error was evaluated as 1.96 and 1.68. The result obtained showed deviations between the compared existing models (Hata and Cost 231) and the proposed models. However, the slope of the Hata plot was relatively close in comparison to the proposed model than that of Cost 231; hence, the proposed model was best suited for the environment followed by the Hata model.
Ant Colony Optimization Based Energy Efficient on-Demand Multipath Routing Sc...ijsrd.com
Reliable transmission has become one of the major aspects of a wireless sensor network. The current paper provides an Ant Colony Optimization based method for providing multi path routes. These routes are provided on-demand, hence they can be used in any dynamic system. The advantage of this system is that it can provide near optimal results within the stipulated time.
This paper deals with the hardware implementation of base band (acquisition and tracking) modules of a
GPS receiver using system generator 9.2 has been tried out. The implementation will be tested on Lyrtech (small form factor-software defined radio) platform which consists of 3 layers. The upper layer is the radio frequency (1 GHz) layer, middle layer is the ADACMasterIII layer and the last is digital processing (DSP) layer. The data transfer between the FPGA Virtex-4SX35 and DSP module is done using a TMS320DM6446 Davinci processor. Generation of 17MHz Intermediate frequency has been done. The acquisition module based on parallel code phase search acquisition algorithm has been tried out. The results are being tested for correctness and accuracy. After this the tracking module will be implemented. The results will lead to the development of indigenous GPS receivers with single and multiple channels
within the same hardware with reconfiguration.
Performance evaluation of 1 tbps qpsk dwdm system over isowceSAT Journals
Abstract Optical wireless communications has been in latest trends of high speed communications. They enable the use of optical wireless channel in applications like inter satellite links and underwater communications etc. In this paper, we communicate an ultra high bit rate i.e. 1 Tbps (10 x 100 Gbps) QPSK WDM System over optical Wireless communication Link. The system is a Line of Sight optical wireless link incorporating Coherent QPSK modulation Scheme for10 channels each at 100 Gbps The performance is evaluated in terms of Q-Factor and Minimum Bit Error Rate which are noticed to be in acceptable standards. The Link is analyzed under various parameters such as Power, Distance etc and maximum achievable distance is noticed to be 50,000 km at power values ranging from 0 dBm to 40 dBm
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Enhanced Mobile Node Tracking With Received Signal Strength in Wireless Sensor Networks
1. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 6, Issue 2 (May. - Jun. 2013), PP 46-50
www.iosrjournals.org
www.iosrjournals.org 46 | Page
Enhanced Mobile Node Tracking With Received Signal Strength
in Wireless Sensor Networks
Ahmed Abdullah1
, Vinolee R2
1
(Department of Electronics and communication, SRM University, India)
2
(Department of Electronics and communication, SRM University, India)
Abstract : Node localization is important parameter in WSN. Node localization is required to report origin of
events which makes it one of the important challenges in WSN. Received signal strength (RSS) is used to
calculate distance between mobile node and reference node. The position of the mobile node is calculated using
multilateration algorithm (MA). Extended Kalman filter (EKF) is utilized to estimate the actual position. In this
paper, the implementation and enhancement of a tracking system based on RSS indicator with the aid of an
Extended Kalman Filter (EKF) is described and an adaptive filter is derived.
Keywords - Extended Kalman filter (EKF), mobile node tracking, multilateration algorithm (MA), received
signal strength (RSS), Wireless sensor networks (WSN)
I. INTRODUCTION
Advances in Integrated circuit technology have enabled the integration of computation and
communication into one device which monitor or control physical processes. Wireless sensor network have
attracted a lot of research in the recent past. The various issues related to wireless sensor networks pose
interesting challenges to researcher in domain like localization. There are various location estimation methods.
Received signal strength (RSS) based ranging is an advantage as it already have radios, requires no additional
hardware support. Other ranging methods used are angle-of- arrival (AOA), time-of-arrival (TOA), and time-
difference-of-arrival (TDOA).
RSS-based methods suffer from relatively lower accuracy. Several methods have been introduced to
provide better accuracy. Kalman filter is used to improve the accuracy in tracking. In [1] tracking of mobile
node is done using Kalman filter. This algorithm uses lateralization with nearest three estimated nodes to
calculate the coordinates and it is implemented for straight and circular movements of the mobile node. In
another algorithm [2] also used Kalman filter and proposed a novel filter base on fading Kalman filter. In [3]
considered shadowing effect, a novel method by combining Kalman filter and maximum-likelihood is given.
The rest of this paper is organized as follows: The system model, the wireless channel propagation
model, the multilateration algorithm are described in section II. In section III, Extended Kalman filter model is
presented. In section IV, the simulation results are given and the performance is analyzed with comparison of
different methods. Finally, conclusions are given in section V.
II. SYSTEM MODEL
2.1 System model
A system model as given in literature [2] is used which has an area 20m×20m. The mobile node does
uniform motion in this area and its direction may change at any time. Four reference nodes are distributed at
four corners of this area. The reference nodes sends wireless signal at same time and for every time period T.
The computer simulations are performed on a special trajectory which is a circle starting from (14,8) and whose
center is (8,8) and radius is 6 as shown in the Fig 1.
2.2 Wireless channel propagation model
The scattering, reflection and blockage of physical obstacles results in random variations of the signal
which should be statistically modelled. And the most common model which is empirically confirmed is log-
normal shadowing. This model is presented in [3] as following equation:
X
d
d
PP
o
or
10log10 (1)
Where Pr is the received signal strength (RSS) of the receiver which is d away from the transmitter.
Similarly, Po is the received signal strength of the receiver which is do away from the transmitter. γ is path loss
exponent, which generally equals from 2 to 4. d denotes the distance between the transmitter and the receiver
2. Enhanced mobile node tracking with received signal strength in wireless sensor networks
www.iosrjournals.org 47 | Page
and denotes the reference distance. Xσ denotes the Gaussian random noise with mean value of zero and
variance of σ2
.
Fig. 1. Actual trajectory of mobile node.
2.3 Multilateration algorithm
The distance between the mobile node and the reference nodes are calculated from equation (1) and the
coordinates of the reference nodes are known, multilateration algorithm (MA) can be used to estimates the
coordinates of mobile node. The multilateration algorithm is an effective location algorithm.
Let the coordinates of the ith reference node be (xi, yi), and the distance between the mobile node and
the ith reference node be di. The minimum mean square error matrix [4] of the coordinates of the mobile node
can be given by:
bAAAX TT 1
(2)
where
y
xX ;
nnnn
nn
nn
nn
yyxx
yyxx
yyxx
yyxx
A
11
33
22
11
22
.
.
.
.
22
22
22
&
22
1
22
1
22
1
22
3
22
3
22
3
22
2
22
2
22
2
22
1
22
1
22
1
.
.
nnnnnn
nnn
nnn
nnn
ddyyxx
ddyyxx
ddyyxx
ddyyxx
b .
III TRACKING
3.1 Extended Kalman filter algorithm
The motion model of the mobile node has been given in [2], which presents that the mobile node does
uniform linear motion in duration and its direction may change at any time.
Assuming the actual coordinates of the mobile node at time kth
is (xk, yk), and the corresponding speed is
(Vx,Vy). Let the state vector of mobile node at time kth
be
T
yVxVkykxkS ),,,( , we can obtain the state
equation:
3. Enhanced mobile node tracking with received signal strength in wireless sensor networks
www.iosrjournals.org 48 | Page
)(..
1000
100
0010
001
)( 1
^
1
1
^
kk
y
k
x
k
k ss
V
y
V
x
T
T
(3)
In above equation, T is the sampling period of RSS, and Φk is the one step state transition matrix.
The filtering process [5] is as follows:
The initial state of filtering:
soos )(
^
, sok CM )(1 (4)
Prediction stage:
)(.)( 1
^^
kkk ss (5)
One step prediction mean square error matrix:
QMM T
kkkk )()( 1 (6)
Q covariance of process noise.
Update stage:
Filtering gain matrix:
1
))(()(
RHMHHMK T
kkk
T
kk (7)
Filtering mean square error matrix:
)()()( kkk MKHIM (8)
State filtering:
))(()()(
^^^
kkkkk sss HZK (9)
Where:
0
)(2
)(2
4,2,
3,
1,
44
k
i
k
i
i
kk
i
i
kk
i
k
ijk
hh
yyh
xxh
hH
(10)
is the linearization of the measurement around the previous state. μso is the mean value of the state
vector at the initial time. Cso is the covariance matrix of the state vector at the initial time. R is the covariance
matrix of the observation noise vector at nk time kth
. I is the unit matrix. Rk and Q are the measurement and
process noise covariance matrices respectively. The measurement noise covariance matrix is in the form of:
4
2
.IR nk (11)
IV ENHANCED EXTENDED KALMAN FILTER
A significant enhancement is derived by incorporating the following adaptive modifications into the
modelled EKF for object tracking.
4.1 Linearization.
The most important part of applied enhancements in the proposed method is the model presented for
measurements. It is clear that the relation of RSS indicators and coordinates of the source node is nonlinear.
Thus, to use EKF for estimation, a linearization of measurement is required. Consider the measurements are
selected to be the same as RSS indicators. The corresponding linearization cause to the following matrices:
0
)(log
)(20
)(log
)(20
4,2,
10
3,
10
1,
44
k
i
k
i
k
i
k
k
i
k
i
k
k
i
k
ijk
hh
d
yy
h
d
xx
h
hH
(12)
4. Enhanced mobile node tracking with received signal strength in wireless sensor networks
www.iosrjournals.org 49 | Page
The magnitudes of elements of Hk matrix are so much smaller than the case of Eq. 12. The importance
of this point becomes clear when KF begins to diverge.
V SIMULATION RESULTS
In this chapter, the simulation result of Extended Kalman filter (KF), Enhanced Extended Kalman filter
are presented. In order to verify the effect of the Extended Kalman filter (EKF) algorithm in location and
tracking, MATLAB is used to do the simulation.
As shown in figure 1, the actual trajectory of the mobile node is a circle. The starting coordinates of the
mobile node is (14,8), whose centre is at (8,8), radius is 6m and its speed is always 1m/s. The sampling period
of RSS (T) is 1 second.
To compare the performance of each method, Root Mean Square Error (RMSE) of each method is
defined as:
M
k
kkkk yyxx
M
RMSE
1
22
])()[(
1
(13)
Where ( kx , ky ) is the actual coordinates of the blind node, and ( kx
, ky
) is its estimated coordinates.
Fig. 2. Actual trajectory and estimated trajectory of mobile node.
As shown in figure 3, compared with other algorithms, the location error of Enhanced EKF algorithm
is the least when compared with EKF, Kalman filter (KF), Fading Kalman filter (FKF) as presented in [2].
Fig. 3. Comparison of different algorithms
5. Enhanced mobile node tracking with received signal strength in wireless sensor networks
www.iosrjournals.org 50 | Page
VI CONCLUSIONS
Previous works have considered Kalman filter of single mobile nodes to smooth out the estimated
trajectory. In this paper an Enhanced Extended Kalman filter is used for tracking movements of a single mobile
node. RSS measurements are such modelled in EKF equations to obtain reliable solutions in tricky situations
when the mobile node experiences sudden changes in its trajectory.
As compared to previously proposed methods the proposed scheme has proved to have better location
accuracy in terms of the RMSE of the estimated location and faster convergence speed as compared to other
models of KF.
REFERENCES
[1] S. Umesh Babu, C. S. Kumar, R. V. Raja Kumar, “Sensor Networks for Tracking a Moving Object using Kalman Filtering”,
IEEE International Conference on Industrial Technology (ICIT), Mumbai, 15-17 Dec. 2006.
[2] Jieyang Yi, Liang Zhou, “Enhanced Location Algorithm with Received-Signal-Strength Using Fading Kalman Filter in Wireless
Sensor Networks”. IEEE Conference Publishing.2011.
[3] Andrea Goldsmith. “Wireless Communications”. New York: Cambridge University Press, 2005.
[4] Xiao-wei Li, Yong-jun Xu, Feng-yuan Ren. Technology of Wireless Sensor Networks. Beijing: Press of Beijing Institute of
Technology, 2009.
[5] Greg Welch and Gary Bishop. “An Introduction to the Kalman Filter”. Department of Computer Science University of
North Carolina at Chapel Hill, 2006.