This document discusses the application of digital signal processing techniques in radar systems. It provides an overview of how digital signal processing is used extensively in modern radar, such as at the transmitter to generate pulses and at the receiver for tasks like clutter removal and beamforming. The main tasks of a radar signal processor are discussed, including decisions about targets, maintaining constant false alarm rates, tracking targets, resolving ambiguities, and countering interference. Detection of signals is also covered, along with fast convolution filter implementations using dual and single FFT pipelines for matched filtering.
This document discusses the application of digital signal processing in radar signals. It provides an overview of how DSP is used extensively in modern radar systems, both at the transmitter to generate pulses and control antennas, and at the receiver to perform tasks like clutter removal and beamforming. The document also reviews some key techniques in DSP for radar signals, including constant false alarm rate processing and matched filtering for signal detection. It describes how DSP helps with tasks like tracking multiple targets, resolving measurement ambiguities, and combining information from radar and other sources.
This document presents a computer simulation model for radar target detection. The model considers two moving targets generated using a keypad and applies nine levels of noise to simulate changing signal-to-noise ratios. As noise levels increase, the brightness of target blips on the radar display decrease by around 5% for each level. The simulation is programmed in Turbo C++ and interfaces with a computer through a parallel port to simulate a radar display and evaluate the effects of noise on target detection performance.
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.
Implementation of Adaptive Digital Beamforming using CordicEditor IJCATR
This document summarizes an article that proposes implementing adaptive digital beamforming using the CORDIC (COordinate Rotation DIgital Computer) algorithm. It first provides background on beamforming, sonar imaging, and the CORDIC theory. It then describes the proposed work of using CORDIC-based beamforming in an underwater sonar system to detect objects and determine angles. The system would transmit beamformed data, generate beamformed data at the receiver, and then use an optimized CORDIC algorithm to eliminate interference and noise from the received data.
This document discusses adaptive cruise control (ACC) systems which help drivers maintain a safe distance from vehicles ahead. [1] ACC uses sensors like radar or lidar to detect the speed and distance of nearby vehicles and controls braking/acceleration accordingly. [2] More advanced systems allow vehicles to communicate with each other via technologies like Bluetooth to coordinate speeds and braking, forming "platoons" of vehicles with minimized spacing between them for improved traffic flow. [3] While ACC helps relieve driver workload, challenges remain around high costs and ensuring drivers remain attentive with such assistive systems.
International Journal of Computational Engineering Research(IJCER)ijceronline
The document describes an active cancellation algorithm for radar cross section reduction. The algorithm uses hardware components like receiving and transmitting antennas along with software like MATLAB and C programs. It works by receiving an incoming radar signal, analyzing its parameters, searching databases to find matching echo data, generating a cancellation signal to transmit, and establishing scattering fields to synthesize an empty pattern for the radar receiver. Testing showed the algorithm improved visibility reduction by 25% over conventional methods.
This document describes a digital down converter (DDC) implemented on a Xilinx FPGA Virtex-5 device. The DDC allows a received intermediate frequency (IF) signal to be down converted to baseband. It uses a direct digital synthesizer to generate sine and cosine signals to mix with the input samples in a mixer, producing in-phase and quadrature signals. These pass through a low-pass filter to reject images and yield a complex baseband representation of the original signal. Implementing the filter as a multi-stage FIR filter approach optimizes the DDC with respect to hardware complexity, speed and power dissipation compared to a single-stage FIR filter. The DDC is controlled by commands received over
Simulation of Multiple Target Detection with Frequency Modulated Continuous W...IRJET Journal
This document discusses simulating a frequency modulated continuous wave (FMCW) radar system for detecting multiple targets. It describes how FMCW radar works by transmitting a frequency modulated chirp signal and using the frequency shift between the transmitted and received signals to determine target range and velocity. The simulation aims to improve range resolution through signal processing algorithms like fast Fourier transform (FFT), constant false alarm rate (CFAR), and multiple signal classification (MUSIC). It creates an environment with multiple targets and uses the algorithms to detect the targets and determine their distances, velocities, and angular positions.
This document discusses the application of digital signal processing in radar signals. It provides an overview of how DSP is used extensively in modern radar systems, both at the transmitter to generate pulses and control antennas, and at the receiver to perform tasks like clutter removal and beamforming. The document also reviews some key techniques in DSP for radar signals, including constant false alarm rate processing and matched filtering for signal detection. It describes how DSP helps with tasks like tracking multiple targets, resolving measurement ambiguities, and combining information from radar and other sources.
This document presents a computer simulation model for radar target detection. The model considers two moving targets generated using a keypad and applies nine levels of noise to simulate changing signal-to-noise ratios. As noise levels increase, the brightness of target blips on the radar display decrease by around 5% for each level. The simulation is programmed in Turbo C++ and interfaces with a computer through a parallel port to simulate a radar display and evaluate the effects of noise on target detection performance.
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.
Implementation of Adaptive Digital Beamforming using CordicEditor IJCATR
This document summarizes an article that proposes implementing adaptive digital beamforming using the CORDIC (COordinate Rotation DIgital Computer) algorithm. It first provides background on beamforming, sonar imaging, and the CORDIC theory. It then describes the proposed work of using CORDIC-based beamforming in an underwater sonar system to detect objects and determine angles. The system would transmit beamformed data, generate beamformed data at the receiver, and then use an optimized CORDIC algorithm to eliminate interference and noise from the received data.
This document discusses adaptive cruise control (ACC) systems which help drivers maintain a safe distance from vehicles ahead. [1] ACC uses sensors like radar or lidar to detect the speed and distance of nearby vehicles and controls braking/acceleration accordingly. [2] More advanced systems allow vehicles to communicate with each other via technologies like Bluetooth to coordinate speeds and braking, forming "platoons" of vehicles with minimized spacing between them for improved traffic flow. [3] While ACC helps relieve driver workload, challenges remain around high costs and ensuring drivers remain attentive with such assistive systems.
International Journal of Computational Engineering Research(IJCER)ijceronline
The document describes an active cancellation algorithm for radar cross section reduction. The algorithm uses hardware components like receiving and transmitting antennas along with software like MATLAB and C programs. It works by receiving an incoming radar signal, analyzing its parameters, searching databases to find matching echo data, generating a cancellation signal to transmit, and establishing scattering fields to synthesize an empty pattern for the radar receiver. Testing showed the algorithm improved visibility reduction by 25% over conventional methods.
This document describes a digital down converter (DDC) implemented on a Xilinx FPGA Virtex-5 device. The DDC allows a received intermediate frequency (IF) signal to be down converted to baseband. It uses a direct digital synthesizer to generate sine and cosine signals to mix with the input samples in a mixer, producing in-phase and quadrature signals. These pass through a low-pass filter to reject images and yield a complex baseband representation of the original signal. Implementing the filter as a multi-stage FIR filter approach optimizes the DDC with respect to hardware complexity, speed and power dissipation compared to a single-stage FIR filter. The DDC is controlled by commands received over
Simulation of Multiple Target Detection with Frequency Modulated Continuous W...IRJET Journal
This document discusses simulating a frequency modulated continuous wave (FMCW) radar system for detecting multiple targets. It describes how FMCW radar works by transmitting a frequency modulated chirp signal and using the frequency shift between the transmitted and received signals to determine target range and velocity. The simulation aims to improve range resolution through signal processing algorithms like fast Fourier transform (FFT), constant false alarm rate (CFAR), and multiple signal classification (MUSIC). It creates an environment with multiple targets and uses the algorithms to detect the targets and determine their distances, velocities, and angular positions.
Subsystems of radar and signal processing Ronak Vyas
This document discusses subsystems of radar and signal processing, specifically focusing on ST (Stratosphere Troposphere) radar. It begins by introducing the goals of understanding basic radar concepts and studying ST radar. It then provides an overview of key radar subsystems including antennas, duplexers, transmitters, and receivers. The document concludes by describing common signal processing techniques used in radar like correlation, Doppler filtering, and detection processing.
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
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 novel fast time jamming analysis transmission selection technique for radar...IJECEIAES
The jamming analysis transmission selection (JATS) sub-system is used in radar systems to detect and avoid the jammed frequencies in the available operating bandwidth during signal transmission and reception. The available time to measure the desired frequency spectrum and select the non-jammed frequency for transmission is very limited. A novel fast time (FAT) technique that measures the channel spectrum, detects the jamming sub-band and selects the non-jammed frequency for radar system transmission in real time is proposed. A JATS sub-system has been designed, simulated, fabricated and implemented based on FAT technique to verify the idea. The novel FAT technique utilizes time-domain analysis instead of the wellknown fast Fourier transform (FFT) used in conventional JATS sub-systems. Therefore, the proposed fast time jamming analysis transmission selection (FAT-JATS) sub-system outperforms other reported JATS sub-systems as it uses less FPGA resources, avoids time-delay occurred due to complex FFT calculations and enhances the real time operation. This makes the proposed technique an excellent candidate for JATS sub-systems.
This document is a project report submitted by Kaushlendra Singh for the partial fulfillment of an M.Sc. degree in Electronics from the University Institute of Engineering and Technology, CSJMU, Kanpur. The report describes the development of a short range radar system called "RANGEFINDER". It includes certificates of submission, acknowledgements, contents, and the introduction which describes the background and motivation for developing such a system.
In the modern age, High-resolution radar images can be achieved by employing SAR technique. It is well
known that SAR can provide several times better image resolution than conventional radars. The exploration for efficient
image denoising methods still remains a valid challenge for researchers. Despite the difficulty of the recently proposed
methods, mostly of the algorithms have not yet attained a pleasing level of applicability; each algorithm has its
assumptions, advantages, and limitations. This paper presents a review of synthetic aperture radar. Behind a brief
introduction in our work we are especially targeting the noise called backscattered noise in SAR terminology which
causes the appearance of speckle Potential future work in the area of air flight navigation, mapping Weather Monitoring
& during natural disaster like earth quake. The SAR having the capability, to make human visibility beyond optical
vision, is also discussed.
IRJET- Land Mine Data Collection System using Long Range WiFi and P2P Com...IRJET Journal
This system collects data from sensors in landmines including time of blast, weight, temperature, climate factors like rainfall, and direction of movement. This data helps determine the cause of mine blasts and informs soldiers of conditions. Sensors transmit data via long range WiFi to a base station where the information is displayed. Collecting this critical data enhances military investigations and situational awareness for troops.
Clutter reduction technique based on clutter model for automatic target class...TELKOMNIKA JOURNAL
Classification becomes one of the important elements in the forward scatter radar (FSR) micro-sensors network. This classification performance is dependent on the target’s profile behaviour and the network’s surrounding; and one of the factors that cause the reduction of classification probability is the presence of ground clutter. As the volume of clutter increases, their masking effect becomes greater and may result in more significant errors in target classification. Hence, to reduce misclassification in the FSR sensor network, a new clutter reduction technique based on the ground clutter model is proposed. Simulated ground clutter is modeled based on the estimated signal to clutter ratio (SCR) of the received signal. The clutter effect is diminished by eliminating simulated like-clutter from the receiving signals. The result shows improvement in the classification accuracy, especially for the minimum value of the SCR and this new technique uses only one database which will shorten the processing time and reduce the overall database’s size.
This document discusses continuous wave radars and their advantages over pulse radars. It begins with an introduction explaining how radar technology has migrated from military to civilian security applications. It then discusses the basics of pulse radars and how continuous wave radars offer advantages like lower transmitted power, lack of ambiguity issues, and better electromagnetic compatibility. The document provides theoretical background on continuous wave radar signal processing and highlights key features of this radar type. It also discusses applications in security fields like target identification.
The document describes the design of an ultrasonic radar system for short range object detection. It discusses using ultrasonic frequencies instead of microwaves to make a more cost effective radar. The system uses an Arduino board, ultrasonic sensor, servo motor, LEDs and buzzer. It works by sending and receiving ultrasonic pulses and measuring the time delay to determine distance. The servo motor rotates to scan in different angles. Code and algorithms are provided to control the hardware and calculate distance measurements at various angles for object detection.
IRJET- Radiosonde Payload for Weather BalloonsIRJET Journal
This document describes a radiosonde payload designed to measure weather conditions from weather balloons. The payload contains sensors to measure temperature, humidity, air pressure and GPS coordinates. It transmits the sensor data via radio frequency to a ground station. The data is stored on an SD card and can be displayed on an LCD screen. The payload is designed to be lightweight and powered by batteries to be carried by weather balloons to different altitudes in the atmosphere. It aims to provide up-to-date weather monitoring and analysis to forecasters. The document discusses the components, circuit design and testing of the radiosonde payload.
This document is an internship report submitted by Khet Kumar detailing their internship from June 12th to July 14th, 2017 at the Electronics Engineering Depot of the Civil Aviation Authority of Pakistan. The report provides an overview of the CAA Pakistan and EED, and then describes Khet's experiences in various sections of EED including the Radar Central Workshop, Navigational Aids section, VHF/UHF section, General Electronics, Telecom section, High Frequency section, and Winding section. Khet thanks the people and organizations that supported their internship experience and learning.
Airports Authority of India (AAI) was constituted by an Act of Parliament and came into being on 1st April 1995 by merging erstwhile National Airports Authority and International Airports Authority of India. The merger brought into existence a single Organization entrusted with the responsibility of creating, upgrading, maintaining and managing civil aviation infrastructure both on the ground and airspace in the country. It manages 133 airports and covers 2.8 million square nautical miles area which includes the oceanic area of 1.7 million square nautical miles.
The document provides details about the automation room and equipment room layout of an air traffic control center. It describes the functions of the main servers and systems used like FDP, SDP, RDCU, DBM, NTP, Neptuno and workstations. It also provides information on the power supply, communication equipment and control systems located in the equipment room. Finally, it includes a flow chart illustrating the overall system layout and interactions between different components.
Robust automotive radar interference mitigation using multiplicative-adaptive...IJECEIAES
Radar is one of the sensors that have significant attention to be implemented in an autonomous vehicle since its robustness under many possible environmental conditions such as fog, rain, and poor light. However, the implementation risks interference because of transmitting and/or receiving radar signals from/to other vehicles. This interference will increase the floor noise that can mask the target signal. This paper proposes multiplicative-adaptive filtering and Hilbert transform to mitigate the interference effect and maintain the target signal detectability. The method exploited the trade-off between the step-size and sidelobe effect on the least mean square-based adaptive filtering to improve the target detection accuracy, especially in the long-range case. The numerical analysis on the millimeter-wave frequency modulated continuous wave radar with multiple interferers concluded that the proposed method could maintain and enhance the target signal even if the target range is relatively far from the victim radar.
Development of a Multichannel Analyzer for Radioactive Isotopes Detectionijtsrd
This report is a summary of work carried out at Defence Laboratory DRDO Jodhpur during internship as a part of Masters of Computer Application. The report is the brief description of study about the Multichannel Analyzer and crystallization of work. The work helps in developing insight on a state of the robust technology MCA to identify radioisotopes during the nuclear emergency. Study of Multichannel Analyzer is in the way that it would be able to store the spectrum that is to be displayed. Ferventness of MCA spectrum is classified further in two parts respectively which are Energy spectrum that is Calibrated and Pulse Height spectrum which is non calibrated. A new approach to problem solving is in the direction of feasible survey, and in addition to this requires a remarkably low down time by measuring the spectrum pattern on site in nuclear emergency. The solution is the so called near field spectrum pattern measurement method, which requires mathematical parameters and algorithms. Hemant Singh Rajpurohit | Prof. Bhuvana J "Development of a Multichannel Analyzer for Radioactive Isotopes Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49790.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/49790/development-of-a-multichannel-analyzer-for-radioactive-isotopes-detection/hemant-singh-rajpurohit
A SYSTEM CONCEPT FOR A 3D REAL-TIMEOFDM MIMO RADAR FOR FLYING PLATFORMSNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Performance analysis of adaptive beamforming at receiver side by using lms an...Ijrdt Journal
The Least Mean Squares (LMS) algorithm is an important member of the family of stochastic gradient algorithms. A significant feature of the LMS algorithm is its simplicity. The recursive least squares (RLS) algorithm recursively finds the filter coefficients for minimizing linear least squares cost function. Smart antenna generally refers to any antenna array. Beamforming is a signal processing technique used in sensor arrays for directional signal transmission or reception. This spatial selectivity is achieved by using adaptive or fixed receive/transmit beam patterns. The improvement compared with an omnidirectional reception/transmission is known as the receive/transmit gain (or loss). In this study, fixed weight beamforming basics and maximum signal to interference ratio are given. The theoretical information of adaptive beamforming, LMS (Least Mean Square) and RLS (Recursive Mean Squares) algorithms are explained. Adaptive beamforming in recieve antenna is simulated by using LMS and RLS algorithms. Simulation results are discussed and explained.
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.
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The passage discusses the positive and negative impacts of social media and mass media on adolescents. It notes that teens spend up to 11 hours per day on social media and are exposed to media via electronics. Social media influences how teens dress, act, talk and what they discuss. While mass media can shape adolescent minds and ideas, it remains unclear whether the overall impact is positive or negative. The passage intends to explore this issue by analyzing social media's impacts through sociological lenses of identity and groupthink.
Writing Phrases Best Essay Writing Service, Essay WritRichard Hogue
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This document discusses subsystems of radar and signal processing, specifically focusing on ST (Stratosphere Troposphere) radar. It begins by introducing the goals of understanding basic radar concepts and studying ST radar. It then provides an overview of key radar subsystems including antennas, duplexers, transmitters, and receivers. The document concludes by describing common signal processing techniques used in radar like correlation, Doppler filtering, and detection processing.
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A novel fast time jamming analysis transmission selection technique for radar...IJECEIAES
The jamming analysis transmission selection (JATS) sub-system is used in radar systems to detect and avoid the jammed frequencies in the available operating bandwidth during signal transmission and reception. The available time to measure the desired frequency spectrum and select the non-jammed frequency for transmission is very limited. A novel fast time (FAT) technique that measures the channel spectrum, detects the jamming sub-band and selects the non-jammed frequency for radar system transmission in real time is proposed. A JATS sub-system has been designed, simulated, fabricated and implemented based on FAT technique to verify the idea. The novel FAT technique utilizes time-domain analysis instead of the wellknown fast Fourier transform (FFT) used in conventional JATS sub-systems. Therefore, the proposed fast time jamming analysis transmission selection (FAT-JATS) sub-system outperforms other reported JATS sub-systems as it uses less FPGA resources, avoids time-delay occurred due to complex FFT calculations and enhances the real time operation. This makes the proposed technique an excellent candidate for JATS sub-systems.
This document is a project report submitted by Kaushlendra Singh for the partial fulfillment of an M.Sc. degree in Electronics from the University Institute of Engineering and Technology, CSJMU, Kanpur. The report describes the development of a short range radar system called "RANGEFINDER". It includes certificates of submission, acknowledgements, contents, and the introduction which describes the background and motivation for developing such a system.
In the modern age, High-resolution radar images can be achieved by employing SAR technique. It is well
known that SAR can provide several times better image resolution than conventional radars. The exploration for efficient
image denoising methods still remains a valid challenge for researchers. Despite the difficulty of the recently proposed
methods, mostly of the algorithms have not yet attained a pleasing level of applicability; each algorithm has its
assumptions, advantages, and limitations. This paper presents a review of synthetic aperture radar. Behind a brief
introduction in our work we are especially targeting the noise called backscattered noise in SAR terminology which
causes the appearance of speckle Potential future work in the area of air flight navigation, mapping Weather Monitoring
& during natural disaster like earth quake. The SAR having the capability, to make human visibility beyond optical
vision, is also discussed.
IRJET- Land Mine Data Collection System using Long Range WiFi and P2P Com...IRJET Journal
This system collects data from sensors in landmines including time of blast, weight, temperature, climate factors like rainfall, and direction of movement. This data helps determine the cause of mine blasts and informs soldiers of conditions. Sensors transmit data via long range WiFi to a base station where the information is displayed. Collecting this critical data enhances military investigations and situational awareness for troops.
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Classification becomes one of the important elements in the forward scatter radar (FSR) micro-sensors network. This classification performance is dependent on the target’s profile behaviour and the network’s surrounding; and one of the factors that cause the reduction of classification probability is the presence of ground clutter. As the volume of clutter increases, their masking effect becomes greater and may result in more significant errors in target classification. Hence, to reduce misclassification in the FSR sensor network, a new clutter reduction technique based on the ground clutter model is proposed. Simulated ground clutter is modeled based on the estimated signal to clutter ratio (SCR) of the received signal. The clutter effect is diminished by eliminating simulated like-clutter from the receiving signals. The result shows improvement in the classification accuracy, especially for the minimum value of the SCR and this new technique uses only one database which will shorten the processing time and reduce the overall database’s size.
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The document describes the design of an ultrasonic radar system for short range object detection. It discusses using ultrasonic frequencies instead of microwaves to make a more cost effective radar. The system uses an Arduino board, ultrasonic sensor, servo motor, LEDs and buzzer. It works by sending and receiving ultrasonic pulses and measuring the time delay to determine distance. The servo motor rotates to scan in different angles. Code and algorithms are provided to control the hardware and calculate distance measurements at various angles for object detection.
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This document is an internship report submitted by Khet Kumar detailing their internship from June 12th to July 14th, 2017 at the Electronics Engineering Depot of the Civil Aviation Authority of Pakistan. The report provides an overview of the CAA Pakistan and EED, and then describes Khet's experiences in various sections of EED including the Radar Central Workshop, Navigational Aids section, VHF/UHF section, General Electronics, Telecom section, High Frequency section, and Winding section. Khet thanks the people and organizations that supported their internship experience and learning.
Airports Authority of India (AAI) was constituted by an Act of Parliament and came into being on 1st April 1995 by merging erstwhile National Airports Authority and International Airports Authority of India. The merger brought into existence a single Organization entrusted with the responsibility of creating, upgrading, maintaining and managing civil aviation infrastructure both on the ground and airspace in the country. It manages 133 airports and covers 2.8 million square nautical miles area which includes the oceanic area of 1.7 million square nautical miles.
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Radar is one of the sensors that have significant attention to be implemented in an autonomous vehicle since its robustness under many possible environmental conditions such as fog, rain, and poor light. However, the implementation risks interference because of transmitting and/or receiving radar signals from/to other vehicles. This interference will increase the floor noise that can mask the target signal. This paper proposes multiplicative-adaptive filtering and Hilbert transform to mitigate the interference effect and maintain the target signal detectability. The method exploited the trade-off between the step-size and sidelobe effect on the least mean square-based adaptive filtering to improve the target detection accuracy, especially in the long-range case. The numerical analysis on the millimeter-wave frequency modulated continuous wave radar with multiple interferers concluded that the proposed method could maintain and enhance the target signal even if the target range is relatively far from the victim radar.
Development of a Multichannel Analyzer for Radioactive Isotopes Detectionijtsrd
This report is a summary of work carried out at Defence Laboratory DRDO Jodhpur during internship as a part of Masters of Computer Application. The report is the brief description of study about the Multichannel Analyzer and crystallization of work. The work helps in developing insight on a state of the robust technology MCA to identify radioisotopes during the nuclear emergency. Study of Multichannel Analyzer is in the way that it would be able to store the spectrum that is to be displayed. Ferventness of MCA spectrum is classified further in two parts respectively which are Energy spectrum that is Calibrated and Pulse Height spectrum which is non calibrated. A new approach to problem solving is in the direction of feasible survey, and in addition to this requires a remarkably low down time by measuring the spectrum pattern on site in nuclear emergency. The solution is the so called near field spectrum pattern measurement method, which requires mathematical parameters and algorithms. Hemant Singh Rajpurohit | Prof. Bhuvana J "Development of a Multichannel Analyzer for Radioactive Isotopes Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49790.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/49790/development-of-a-multichannel-analyzer-for-radioactive-isotopes-detection/hemant-singh-rajpurohit
A SYSTEM CONCEPT FOR A 3D REAL-TIMEOFDM MIMO RADAR FOR FLYING PLATFORMSNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
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Performance analysis of adaptive beamforming at receiver side by using lms an...Ijrdt Journal
The Least Mean Squares (LMS) algorithm is an important member of the family of stochastic gradient algorithms. A significant feature of the LMS algorithm is its simplicity. The recursive least squares (RLS) algorithm recursively finds the filter coefficients for minimizing linear least squares cost function. Smart antenna generally refers to any antenna array. Beamforming is a signal processing technique used in sensor arrays for directional signal transmission or reception. This spatial selectivity is achieved by using adaptive or fixed receive/transmit beam patterns. The improvement compared with an omnidirectional reception/transmission is known as the receive/transmit gain (or loss). In this study, fixed weight beamforming basics and maximum signal to interference ratio are given. The theoretical information of adaptive beamforming, LMS (Least Mean Square) and RLS (Recursive Mean Squares) algorithms are explained. Adaptive beamforming in recieve antenna is simulated by using LMS and RLS algorithms. Simulation results are discussed and explained.
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.
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Application Of Digital Signal Processing In Radar Signals
1. Umoh, Gabriel Etim, Akpan, Aniefiok Otu / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1440-1445
1440 | P a g e
Application Of Digital Signal Processing In Radar Signals
Umoh, Gabriel Etim, Akpan, Aniefiok Otu
Department Of Electrical/Electronics Engineering Faculty Of Engineering, Akwa Ibom State University
Ikot Akpaden, Mkpat Enin, Lga Akwa Ibom State, Nigeria
Department Of Physics Faculty Of Natural Andapplied Sciences, Akwa Ibom State University
Ikot Akpaden, Mkpat Enin, L.G.A. Akwa Ibom State, Nigeria
Abstract
There has been explosive growth in
Digital Signal Processing theory and applications
over the years. This research explores the
applications of digital signal processing in Radar.
A survey on applications in digital signal
processing in Radar from a wide variety of areas
is carried out. A review is done on basic
approaching models and techniques of signal
processing for different parameters and
extracting information from the received signal.
The various techniques adopted at different
stages of radar to obtain the target’s signature, is
also researched.
Keywords: Radar, Doppler, Digital Signal
Process (DSP), convolution, Clutter filters,
Scanning, Synthetic aperture radar (SAR),
cancellers
INTRODUCTION
Flexibility and versatility of digital
techniques grew in the front-end signal processing
and the advent of integrated digital circuitry, high
speed signal processors were developed and
realized. Radar continued to grow in the recent years
by keeping the future developments in mind and
with better digital capability. Significant
contributions in DSP in Radar have been in MTI
processing, Automatic Detection and extraction of
signal, image reconstruction, etc. A case study of
Radar Synthetic Vision System for Adverse
Weather Aircraft landing is discussed. In this report
an effort is made to identify the contribution of DSP
in the advancement of Radars.
METHODOLOGIES
RADAR transmits radio signals at distant
objects and analyzes the reflections. Data gathered
can include the potion and movement of the object,
also radar can identify the object through its
“signature” the distinct reflection it generates. There
are many forms of RADAR – such as continuous,
CW, Doppler, ground penetrating or synthetic
aperture; and they are used in many applications,
from air traffic control to weather prediction.
In the modern Radar systems, digital signal
processing (DSP) is used extensively. At the
transmitter end, it generates and shapes the
transmission pulses, controls the antenna beam
pattern while at the receiver, DSP performs many
complex tasks, including STAP (space time adaptive
processing) – the removal of clutter, and beam
forming (electronic guidance of direction).
The front end of the receiver for RADAR is
still often analog due to the high frequencies
involved. With fast ADC convertors-often multiple
channel, complex IF signals are digitized. However,
digital technology is coming closer to the antenna.
We may also require fast digital interfaces to detect
antenna position, or control other hardware.
The main task of a radar‟s signal processor
is to make decisions. After a signal has been
transmitted, the receiver starts receiving return
signals, with those originating from near objects
arriving first because time of arrival translates into
target range. The signal processor places a raster of
range bins over the whole period of time, and now it
has to make a decision for each of the range bins as
to whether it contains an object or not.
This decision-making is severely hampered
by noise. Atmospheric noise enters into the system
through the antenna, and all the electronics in the
radar‟s signal path produces noise too.
Major blocks of modern radar system
The major components of modern radar are the
antenna, the tracking computer and the signal
generator. The tracking computer in the modern
radar does all the functions. By scheduling the
appropriate antenna positions and transmitted
signals as a function of time, keeps track of targets
and running the display system.
Fig 1. Block Diagram of a Modern Radar system
2. Umoh, Gabriel Etim, Akpan, Aniefiok Otu / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1440-1445
1441 | P a g e
Even if atmospheric attenuation can be neglected,
the return from a distant object is incredibly weak.
Target returns often are no stronger than twice the
average noise level, sometimes even buried under it.
It is quite difficult to define a threshold for the
decision whether a given peak is noise or a real
target. If the threshold is too high then existing
targets are suppressed, that is, the probability of
detection (PD) will drop. If the threshold is too low
then noise peaks will be reported as targets, that is,
the probability of false alarms (PFA) will rise. A
common compromise is to have some 90%
probability of detection and a false alarm rate of 10-
6
.
It maintains a given PFA known as CFAR, for
Constant False Alarm Rate. Rather than keeping the
threshold at a fixed point, CFAR circuitry inspects
one range bin after the other and compares the
signal level found there with the signal levels found
in its neighboring bins. If the noise level is rather
high in all these (e.g. because of precipitation) the
CFAR circuit will raise the threshold accordingly.
Further tasks of the signal processor are:
Combining information: Secondary
surveillance radars like those located on airports
can ask an aircraft‟s transponder for information
like height, flight number or fuel state. Pilots
may also issue a distress signal via the
transponder. The ground radar‟s signal processor
combines this data with its own measurements of
range and angular direction and plots them all
together on the appropriate spot on the scope.
Forming tracks: By correlating the data sets
which were obtained in successive scan cycles,
the radar can calculate a flight vector which
indicates an aircraft‟s speed and expected
position for the next scan period. Airport radars
are capable of tracking hundreds of targets
simultaneously, and flight safety depends heavily
on their reliability. Military tracking radars use
this information for gun laying or guiding
missiles into some calculated collision point.
Resolving ambiguities in range or Doppler
measurements: Depending on the radar‟s pulse
repetition frequency (PRF), the reading for
range, Doppler or even both are ambiguous. The
signal processor is aware of this and selects a
different PRF when the object in question is
measured again. With a suitable set of PRFs,
ambiguities can be eliminated and the true target
position can be determined.
Ground clutter mapping: Clutter is a collective
term for all unwanted blips on a radar screen.
Ground clutter originates from buildings, cars,
mountains etc, and a clutter map serves to raise
the decision threshold in areas where known
clutter sources are located.
Time and power management: Within a
window of some 60o
x40o
, phased array radars
can instantly switch their beam position to any
position in azimuth and elevation. When the
radar is tasked with surveying its sector and
tracking dozens of targets, there‟s a danger of
either neglecting part of the search sector or
losing a target if the corresponding trace record
isn‟t updated in time. Time management serves
to maintain a priority queue of all the tasks and
to produce a schedule for the beam steering
device. Power management is necessary if the
transmitter circuitry runs the danger of
overheating. If there‟s no backup hardware then
the only way of continuing regular operation is
to use less power when less power is required,
say, for track confirmation.
Countering interference: Interference can be a)
natural or b) man-made. Natural interference can
be heavy rain or hail storms, but also varied
propagation conditions. Man-made interference,
if created on purpose, is also called jamming and
is one of the means of electronic
countermeasures.
Detection of Signals
Detection is the process by which the
presence of the target is sensed in the presence of
competing indications which arise from background
echoes (clutter), atmospheric noise, or noise
generated in the radar receiver. The noise power
present at the output of the radar receiver can be
minimized by using filter, whose frequency
response function maximizes the output peak-signal
to mean-noise (power) ratio is called matched filter.
We shall discuss the application of digital filtering
to matched filters.
Fast Convolution Filter Implementation
(a) Dual pipeline FFTs matched Filter
In this system, FFTs are pipelined and both
the forward and reverse radix-r FFTs are
implemented in hardware. Initial recording of the
data is done using input buffer (IB) memory and it
takes „N/r‟ clock pulses to read N data points and „r‟
input rails. The amount of time „N/r‟ is called as one
epoch. It requires three epochs for the first data to be
completely filtered, and is delivered by one epoch
thereafter. In the dual FFT systems arbitrary data is
filtered sequentially with arbitrary reference
functions selected from reference memory.
Drawback
In many applications the same data set be
filtered with several different filters, in this case
only one forward transform is performed followed
by several inverse transforms, it is possible to
eliminate one of the pipeline FFTs. This is desirable
since it would save a large amount of hardware.
(b) Single forward FFT matched Filter
The data is first transformed and the result stored in
the temporary storage memory (TSM). The data is
then multiplied by the filter function and inverse
3. Umoh, Gabriel Etim, Akpan, Aniefiok Otu / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1440-1445
1442 | P a g e
transformed. This allows multiple readouts of the
forward transformed data for the TSM and multiple
filtering of the same data set; the output of each
filter will appear sequentially.
Drawback
The data at the output of the forward FFT
are in digit reverse order, it is then corrected by
reading the data out of the TSM in digit reversed
order. The second FFT is performed the output is
placed into an output buffer, and to be read in a bit
reversed order from the output buffer.
It requires five epochs for the first data to be
completely filtered, and is delivered by one epoch
thereafter.
(c) Single inverse FFT matched Filter
A single inverse FFT is employed and the data is
read from the input buffer in digit reverse order. The
data is transformed and stored in TSM in normal
order, and then read out in bit reserve order.
Drawback
Complex conjugation must be performed after each
transform and stored. The digit reversed access to
the IB is required and the IB maybe quite large
compared to TSM and may be difficult to
implement.
(d) Reconfigurable FFT matched Filter
The FFT subsystem switches the inter-stage delay
lines to realize both forward and reverse transforms.
Forward transform: by routing the data through the
inter-stage delay memories (IDMs) in decreasing
order.
Inverse transform: by sending data through the
IDMs in the increased order of size. The total
memory of each stage is the number of delay lines
memories.
Comparison of 4 matched filter systems
The relative performance of dual pipeline
matched filter is fastest but requires two complete
pipeline FFTs hence more hardware is required.
Single inverse transform matched filter has better
performance over single forward transform matched
filter and also doesn‟t require a double buffered
output memory. Reconfigurable FFT matched filter
is preferred and chosen most of the times, it doesn‟t
require digit reserved to the IB and also doesn‟t
require digital recording of TSM.
Doppler processing
Doppler processing is used to filter out
clutter and thereby reveal fast moving targets. Such
filters are implemented digitally, FFT or a set of
transversal filters. Cancellers and few optimized
methods are some of the clutter rejection techniques.
Cancellers
Clutter rejection filter amounts to the
design of FIR digital filter with stop-bands to reject
the clutter frequency component. A simple filter is a
two-pulse cancelor.
A two-pulse canceller is used if the clutter
component (assuming DC only) remains constant in
a given range bin and can be eliminated by
subtracting the output from two successive pulses.
The transfer function of two-pulse canceller is equal
to
1
1
Z . And is equivalent to FIR digital filter
with magnitude response sin ( 2
/
).
In practice, the clutter has a power spectrum that
covers frequencies above DC. The two-pulse
canceller will attenuate low frequency components
but may not totally reject clutter. A three-pulse
canceller with its transform function equivalent to
FIR filter is
2
1
5
.
0
5
.
0
z
z . This attenuates
further the components near DC.
Implementation of Clutter Filter
The returns from the same range bin over
several pulses are linearly combined to form the
output per IPP, each delay of can be realized
using shift register.
a. The direct implementation of the optimum
linear processor with N points requires N
multiplications per output point. Since a
different optimum processor is designed for
each Doppler channel, the filter tap weights are
different for each channel.
b. A simpler Suboptimum Processor is obtained
by cascading a three-pulse cancellor with a
bank of band-pass filters (implemented by a
sliding FFT). N-point FFT requires N
N 2
log
multiplications; only N
2
log multiplications
are required per each Doppler Channel. Thus
significant hardware simplifications are
possible with this scheme provided its
performance is adequate.
E.g. moving Target Detector
MTI Signal Processing
A major task in moving target indicator
(MTI) radar is to obtain a time-domain filter, with
the introduction of digital technology, these are
achieved using digital transversal filters, recursive
filters and filter banks.
Adaptive Thresholding and Automatic Detection
Digital processing permitted the reference
level to be generated/internally from the
observations themselves, thereby permitting more
sensitive and faster thresholds. Most of the Radars
employ automatic detection circuits to maintain,
Delay
[IPP]
Input
Output
-
+
4. Umoh, Gabriel Etim, Akpan, Aniefiok Otu / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1440-1445
1443 | P a g e
ideally, a constant false alarm rate (CFAR) by
generating estimates of the receiver output.
Automatic target detection for a search radar can be
achieved by comparing the processed voltage in
each cell to:
1. A fixed threshold level.
2. Threshold levels based upon the mean amplitude
of the ambient interference.
3. A level computed on the basis of partial (a priori)
knowledge of the interference distribution.
4. A threshold level determined by distribution-free
statistical hypothesis testing that assumes no
prior knowledge of statistical distribution of the
interference.
In first case a detection decision is made if
the processed signal o
r , is equal or greater than a
present threshold. That is, if p
o T
r , a detection is
declared.
The second and third cases represent adaptive
threshold CFAR processors. In these processors,
estimates of the unknown parameters of the known
distribution of the processed interference are
formed. In the second case can achieve CFAR when
the distribution of processed interference is
completely described by its mean level. The third
case forms estimates of the unknown parameters of
the known (a priori) distribution.
The fourth case are called nonparametric CFAR
processors. These distribution-free process form a
test variable whose statistics are independent of the
distribution of the input (non-processed)
interference.
A. Adaptive Threshold CFAR Processors
The adaptive threshold CFAR processors is
applicable to situations where the distribution of the
processed data (in the no-signal case) is known
generally and unknown parameters associated with
the distribution can be estimated. It is often
implemented as moving or sliding window through
which estimates of the unknown parameters of the
interference are formed.
B. Distribution free CFAR Processors
These provide CFAR characteristics when the
background return has an unknown distribution.
These processors remain insensitive to variations in
the distribution, and generally experiences
additional detection loss their CFAR properties
make their application advantageous.
1. Double Threshold Detector
2. Modified double threshold Detector
3. Rank order Detector
4. Rank-sum double quantizer Detector
C. Scanning Radar Application
The optimum processor for a pulsed, non-coherent
waveform on n pulses is a square law detector
followed by a n pulse non-coherent integrator that
uses equal weighting of each detected pulse. The
integrator must not only be realizable in practical
sense but also
1. provide a small detection loss as possible
2. provide a means of minimizing losses
associated with integration sample window
and scanning beam straddle of the target
3. In track-while scan applications, permit
accurate measurements of the target angular
position.
Fig.3 Square law detector
Integrators that are typically configured are sliding
window. And this requires the storage of data for n
inter-pulse periods. The single-loop processor
requires storage of data for the single inter-pulse
period. Of course, if data memory is somehow
restricted and if performance is acceptable the
feedback approach is preferred and single feedback
loop is shown below.
Signal Processing in Synthetic Aperture Radar
(SAR)
Digital processing has also permitted increased
capability for extracting target information form the
radar signal. High resolution SAR provides an
image of a scene. Radars are used to recognize one
type of target from another, with the aid of digital
processing, inverse SAR (ISAR) produces an image
IF signal
Square law
Detector
A/D
Convertor ADDER
Single Pulse
Delay
Range gate
Scaling
Constant [kf]
To adaptive Threshold
CFAR
5. Umoh, Gabriel Etim, Akpan, Aniefiok Otu / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1440-1445
1444 | P a g e
of a target good enough to recognize from other
classes of targets by extracting the spectrum of a
target echo signal. Interferometric SAR, which uses
two antennas spaced vertically with a common SAR
system, can provide height information to obtain 3D
image of a scene. Greater flexibility and real-time
operation suggest digital signal processing in SAR.
SAR exploits the probability density of the clutter to
detect man-made features by modeling the clutter by
a family of densities and picking the density that
best describes the clutter on local basis.
Fourier based methods are used for detection of
stationary and moving target detection and
identification in reconnaissance SAR. The
computational time of the time domain correlator
(TDC) is overcome in the frequency domain. Here
digital spotlighting principle is used to extract the
target‟s coherent SAR signature.
Step 1
Coherent matched-filtered SAR reconstruction of
the scene in the presence of foliage is developed by
exploiting the angle and frequency from the target‟s
coherent SAR signature.
Step 2
With the help of Fourier-based method the three
dimensional statistic representing the moving target
coordinates and speed is used for moving target
detection.
Strip Mapping SAR
On the incoming data, the pulse compression
matched filtering is done to obtain Range resolution
and stored prior to azimuth processing. Data are
processed one row at a time to perform the azimuth
compression, since large amount of data are
collected large memory space is required. For each
range resolution cell different azimuth compression
filter is required.
Assuming range azimuth resolutions are to be equal
and total range is mapped to z
then each memory
column has M samples and
2
1 /
2 L
z
samples
(niquist rate sampling) in each row.
The total storage requirement is
2
max
2
2
L
R
L
Memory z
Total calculation is that required for the operation of
M azimuth pulse compression channels in parallel.
So the total computational time using direct
convolution is upper- bounded by
2
max
2
L
R
M
multiplications
By using FFT for high speed convolution together
with parallel parallelism reduces the speed
requirement significantly.
Spotlight mode SAR
Stretch processing is adopted, i.e., the azimuth
resolution is obtained from different Doppler shifts
of the individual targets. Let x1 and x2 are the two
targets both at same range z1 then the received
signal
2
2
1
2
1
1
)
(
)
(
)
(
x
vt
cz
j
x
vt
cz
j o
o
e
e
t
r
is the
sum of two chirps.
]
)
2
[ 2
1
2
2
2
1
1
1
x
x
vt
x
x
cz
j o
e
will be the signal of 1
x is
considered as a reference point and is called
dechirping. The discrimination between the two
targets are performed analyzing 1
x at zero frequency
and target 2
x analyzed as frequency
1
2
1 /
)
(
2 cz
x
x
v
o
. Signal processing of the
multiplier of dechirping and FFT is carried out.
Since this approximation is done near to 1
x the FFT
processing is limited to small region around the
reference point. Also it is advantageous to band-
limit the dechirped azimuth signal to the frequency
range of interest and do FFT. To avoid aliasing low-
pass filter is chosen whose impulse response is a
rectangular window and the frequency response is
sin N
N
/
sin . The high frequency-domain
sidelobes of the rectangular window is overcome by
using a different window or an optimal low-pass
filter.
Thus this signal processing tends itself to a spotlight
mode of SAR. Small areas of central reference point
are imaged individually and a large map is
constructed by piecing together several sub-maps.
The key feature to be considered to discriminate the
man-made structure and the foliage is the
characteristics of SAR signature of a man made
metallic cylinder are different from the nature
objects such as tree with the same size of low
frequencies in the UHF band.
Why not shape information to distinguish
targets?
The resolutions of the reconstructed SAR images are
poor at UHF frequencies. The SAR magnitude
reconstruction of both man-made targets of foliage
will appear as blobs. Thus, there is no much
discrimination about the information. By the process
of Digital spotlighting the procedure to extract the
coherent SAR signature of a target is done.
Target detection and identification
a. Matched Filter Reconstruction
Based on the SAR principles governing the
variations of the gain and phase of target‟s coherent
radar cross section with respect to the signal
frequency and relative speed, angle, we have a
general expression for the two-dimensional matched
filter that is capable of detecting a specified target in
the presence of foliage.
The measured signal )
(
u
k
S is passed through a
bank of N, two-dimensional matched filters, and it is
passed through SAR wave front reconstruction
algorithm.
6. Umoh, Gabriel Etim, Akpan, Aniefiok Otu / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1440-1445
1445 | P a g e
b. Digital spotlight detection and
identification
The image filtered reconstruction requires image
formation for all possible target types followed by a
search algorithm to detect the targets. The targets
are identified by search method, extract the coherent
signatures, and then perform matched filtering on
the signature of these suspected targets. The
extraction of coherent signature from the coherent
reconstruction image is done and process is called
digital spotlighting.
Digital spotlighting is a computer based process that
isolates the target or a target region in a SAR scene.
To detect and identify targets, digital spotlighting
the reconstructed image )
,
( y
x
f is the
reconstruction domain. A stationary target‟s
signature is fairly focused and once the target
signature is spotlighted, it is transformed into any
domain of the SAR signal for identification.
Detection of targets in foliage
Three different target detection techniques for UHF
SAR were discussed in this research. These
techniques are brief out.
a. Baseline approach
It consists of 3 stages with high resolution, Ka-band
SAR DATA. The first stage, a simple two-parameter
constant false alarm rate (CFAR) detector, is a
computationally simple prescreening algorithm that
rejects most natural clutter. A target detection is
declared if the CFAR algorithm evaluation ratio
exceeds CFAR threshold. This algorithm is followed
by a clustering algorithm, which combines multiple
detections occurring in a target-sized area into a
single detection. The combination of these two
algorithms is considered to be the baseline
algorithm.
b. Adaptive change detection
The adaptive filters used are two-dimension
extensions of Widow Least mean Squares (LMS)
filter, used as joint process estimators for noise
cancellation. Each makes use of two images, a
primary, D [presumed to have targets] and a
reference x [without targets]. The clutter of the
reference image is convolved with the weight
matrix, W, to predict the corresponding clutter in the
primary image. This primary image is subtracted
from the primary to yield an error image, and the
difference is used to adoptively tune each element of
the weigh matrix by an approximation. At each
iteration, the sign of the gradient is measured. After
consecutive sign changes, and scaling, the deviation
is found. By using two-pass change detection with
the adaptive filters, the target-to clutter ratio is
increased.
c. Multiple aperture detection
It takes off both the UHF SAR and the angular
diversity of target returns. In order to achieve a high
cross range resolution with a SAR operating at
FOPEAN frequencies, it is necessary to process the
data over a large integration angle. By splitting the
integration aperture, multiple images are formed. It
is then applied to two-dimensional adaptive filters
used for change detection to these multiple images.
This had an advantage with the different responses
of clutter and targets with aspect angle. Clutter
returns were expected to show less aspect angle
dependency than targets, this property allows angle
dependency than targets, and clutter can be removed
by change detection algorithms. This technique has
two distinct advantages over traditional change
detection the multiple aperture targets are perfectly
co-registered and only one flight pass is required
over a given scene.
CONCLUSION
In this research a brief overview of application of
digital signal processing in Radar is presented.
Matched filter implementation, echo cancellers and
automatic detection and tracking are discussed in
separate sections. In most of the modeling, Fast
Fourier transform is a very commonly used
technique for analyzing and filtering digital signals.
Different techniques of detection of targets in
foliage are discussed for SAR. The recent advances
in signal processing are blended with many more
algorithms to present an up-to-date perspective and
can be implemented in Digital Signal Processor
because of their flexibility and the ability to attain
high precisions.
REFERENCES
1. Alan V. Oppenheim, “Application of
Digital Signal Processing”, Prentice Hall,
Inc. Eaves Reedy, “Principles of Modern
Radar”.
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Radke, Gunter Stein, “Radar Synthetic
Vision System for Adverse Weather
Aircraft Landing”, IEEE Transactions on
Aerospace and Electronic Systems”, Jan
1999, Vol. 35, No. 1, pp. 2-15.
3. Jeffrey G, Nanis, “Adaptive Filters for
Detection of targets in Foilage”, IEEE AES
Systems Magazin, Aug 1995, pp. 34-37.
4. Lawrence R. Rabiner and Bernard Gold,
“Theory and Applications of Digital Signal
Processing”, Prentice Hall, Inc.
5. Mehradad Soumekh, “Reconnaissance with
Ultra UHF Synthetic Aperture Radar”,
IEEE Signal Processing Magazine, July
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