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Author : Paopat Ratpunpairoj
Publisher :
ISBN 13 :
Total Pages : 118 pages
Book Rating : 4.:/5 (922 download)
Download or read book A Robust Adaptive Waveform for Targets Tracking in Cognitive Mimo Radar written by Paopat Ratpunpairoj and published by . This book was released on 2015 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jian Li
Publisher : John Wiley & Sons
ISBN 13 : 047039143X
Total Pages : 468 pages
Book Rating : 4.4/5 (73 download)
Download or read book MIMO Radar Signal Processing written by Jian Li and published by John Wiley & Sons. This book was released on 2008-10-10 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book to present a systematic and coherent picture of MIMO radars Due to its potential to improve target detection and discrimination capability, Multiple-Input and Multiple-Output (MIMO) radar has generated significant attention and widespread interest in academia, industry, government labs, and funding agencies. This important new work fills the need for a comprehensive treatment of this emerging field. Edited and authored by leading researchers in the field of MIMO radar research, this book introduces recent developments in the area of MIMO radar to stimulate new concepts, theories, and applications of the topic, and to foster further cross-fertilization of ideas with MIMO communications. Topical coverage includes: Adaptive MIMO radar Beampattern analysis and optimization for MIMO radar MIMO radar for target detection, parameter estimation, tracking,association, and recognition MIMO radar prototypes and measurements Space-time codes for MIMO radar Statistical MIMO radar Waveform design for MIMO radar Written in an easy-to-follow tutorial style, MIMO Radar Signal Processing serves as an excellent course book for graduate students and a valuable reference for researchers in academia and industry.
Author : Sandeep Gogineni
Publisher :
ISBN 13 :
Total Pages : 173 pages
Book Rating : 4.:/5 (795 download)
Download or read book Adaptive MIMO Radar for Target Detection, Estimation, and Tracking written by Sandeep Gogineni and published by . This book was released on 2012 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: We develop and analyze signal processing algorithms to detect, estimate, and track targets using multiple-input multiple-output (MIMO) radar systems. MIMO radar systems have attracted much attention in the recent past due to the additional degrees of freedom they offer. They are commonly used in two different antenna configurations: widely-separated (distributed) and colocated. Distributed MIMO radar exploits spatial diversity by utilizing multiple uncorrelated looks at the target. Colocated MIMO radar systems offer performance improvement by exploiting waveform diversity. Each antenna has the freedom to transmit a waveform that is different from the waveforms of the other transmitters. First, we propose a radar system that combines the advantages of distributed MIMO radar and fully polarimetric radar. We develop the signal model for this system and analyze the performance of the optimal Neyman-Pearson detector by obtaining approximate expressions for the probabilities of detection and false alarm. Using these expressions, we adaptively design the transmit waveform polarizations that optimize the target detection performance. Conventional radar design approaches do not consider the goal of the target itself, which always tries to reduce its detectability. We propose to incorporate this knowledge about the goal of the target while solving the polarimetric MIMO radar design problem by formulating it as a game between the target and the radar design engineer. Unlike conventional methods, this game-theoretic design does not require target parameter estimation from large amounts of training data. Our approach is generic and can be applied to other radar design problems also. Next, we propose a distributed MIMO radar system that employs monopulse processing, and develop an algorithm for tracking a moving target using this system. We electronically generate two beams at each receiver and use them for computing the local estimates. Later, we efficiently combine the information present in these local estimates, using the instantaneous signal energies at each receiver to keep track of the target. Finally, we develop multiple-target estimation algorithms for both distributed and colocated MIMO radar by exploiting the inherent sparsity on the delay-Doppler plane. We propose a new performance metric that naturally fits into this multiple target scenario and develop an adaptive optimal energy allocation mechanism. We employ compressive sensing to perform accurate estimation from far fewer samples than the Nyquist rate. For colocated MIMO radar, we transmit frequency-hopping codes to exploit the frequency diversity. We derive an analytical expression for the block coherence measure of the dictionary matrix and design an optimal code matrix using this expression. Additionally, we also transmit ultra wideband noise waveforms that improve the system resolution and provide a low probability of intercept (LPI).
Author : Alfonso Farina
Publisher : SciTech Publishing
ISBN 13 : 1785615807
Total Pages : 309 pages
Book Rating : 4.7/5 (856 download)
Download or read book The Impact of Cognition on Radar Technology written by Alfonso Farina and published by SciTech Publishing. This book was released on 2017-11-20 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive dynamic systems are inspired by the computational capability of the brain and the viewpoint that cognition is a supreme form of computation. The key idea behind this new paradigm is to mimic the human brain as well as that of other mammals with echolocation capabilities which continuously learn and react to stimulations according to four basic processes: perception-action cycle, memory, attention, and intelligence.
Author : Jamie Bergin
Publisher : Artech House
ISBN 13 : 1630815225
Total Pages : 280 pages
Book Rating : 4.6/5 (38 download)
Download or read book MIMO Radar: Theory and Application written by Jamie Bergin and published by Artech House. This book was released on 2018-03-31 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive new resource provides in-depth and timely coverage of the underpinnings and latest advances of MIMO radar. This book provides a comprehensive introduction to MIMO radar and demonstrates it’s utility in real-world applications, then culminates with the latest advances in optimal and adaptive MIMO radar for enhanced detection and target ID in challenging environments. Signal processing prerequisites are explained, including radar signals, orthogonal waveforms, matched filtering, multi-channel beam forming, and Doppler processing. This book discusses MIMO radar signal model, antenna properties, system modeling and waveform alternatives. MIMO implantation challenges are covered, including computational complexity, adaptive clutter mitigation, calibration and equalization, and hardware constraints. Applications for GMTI radar, OTH radar, maritime radar, and automotive radar are explained. The book offers an introduction to optimum MIMO radar and includes details about detection, clutter, and target ID. Insight into adaptive MIMO radar and MIMO channel estimation is presented and techniques and illustrative examples are given. Readers find exclusive flight testing data from DARPA. The breadth of coverage in this all-inclusive resource makes it suitable for both practicing engineers and advanced researchers. The book concludes with discussions on areas for future research.
Author : Ioannis Kyriakides
Publisher : Springer Nature
ISBN 13 : 3031015282
Total Pages : 57 pages
Book Rating : 4.0/5 (31 download)
Download or read book Cognitive Fusion for Target Tracking written by Ioannis Kyriakides and published by Springer Nature. This book was released on 2022-05-31 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive fusion to the sequential estimation problem of target tracking using foveal and radar sensors.
Author : Peter John-Baptiste (Jr)
Publisher :
ISBN 13 :
Total Pages : 266 pages
Book Rating : 4.:/5 (129 download)
Download or read book Advancing Fully Adaptive Radar Concepts for Real-time Parameter Adaptation and Decision Making written by Peter John-Baptiste (Jr) and published by . This book was released on 2020 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive or Fully Adaptive Radar (FAR) is an area of research that is inspired by biological systems and focuses on developing a radar system capable of autonomously adapting its characteristics to achieve a variety of different tasks such as improved environment sensing and spectral agility. The FAR framework implements a dynamic feedback loop (sense, learn, adapt) within a software defined radar (SDR) system and the environment that emulates a Perception Action Cycle (PAC). The implementation of the FAR framework on SDRs relies on solver-based optimization techniques for their action selection. However, with the increase of optimization complexity, there becomes a heavy impact on time to solution convergence, which limits real-time experimentation. Additionally, many "cognitive radars" lack a memory component resulting in repetitive optimization routines for similar/familiar perceptions. Using an existing model of the FAR framework, a neural network inspired refinement is made. Through the use of neural networks, a subset of machine learning, and other machine learning concepts, a substitution is made for the solver-based optimization component for the FAR framework applied to single target tracking. Static feedforward neural networks and dynamic neural networks were trained and implemented in both a simulation and experimentation environment. Performance comparisons between the neural network and the solver-based optimization approaches show that the static neural network based approach had faster runtimes which lead to more perceptions and sometimes better performance through lower resource consumption. A comparison between the simulation results of the static feed-forward neural network, the dynamic recurrent neural network, and the solver is also made. These comparisons further support the notion of neural networks being able to provide a memory component for cognitive radar through the incorporation of learning, moving toward truly cognitive radars. Additional research was also performed to further show the advantages of neural networks in radar applications of rapid waveform generation. The FAR framework is also extended from the single-target tracking FAR framework to a multiple target tracking implementation. The multi-target implementation of the FAR framework displays the benefits of adaptive radar techniques for multiple target environments where complexity is increased due to the increased number of targets present in the scene as well as the need to resolve all targets. Refinements and additions were made to the existing cost functions and detection/tracking frameworks due to the multiple target environment. Experimental and simulated results demonstrate the benefit of the FAR framework by enabling a robust adaptive algorithm that results in improved tracking and efficient resource management for a multiple target environment. In addition to this, the Hierarchical Fully Adaptive Radar (HFAR) framework was also applied to the problem of resource allocation for a system needing to perform multiple tasks. The Hierarchical Fully Adaptive Radar for Task Flexibility (HFAR-TF)/Autonomous Decision Making (ADM) work applies the HFAR framework to a system needing to engage in balancing multiple tasks: target tracking, classification and target intent discernment ("friend", "possible foe", and "foe"). The goal of this Ph.D. is to combine these objectives to form a basis for establishing a method of improving current cognitive radar systems. This is done by fusing machine learning concepts and fully adaptive radar theory, to enable real-time operation of truly cognitive radars, while also advancing adaptive radar concepts to new applications.
Author : Awais Khawar
Publisher : Springer
ISBN 13 : 3319297252
Total Pages : 69 pages
Book Rating : 4.3/5 (192 download)
Download or read book MIMO Radar Waveform Design for Spectrum Sharing with Cellular Systems written by Awais Khawar and published by Springer. This book was released on 2016-02-13 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses spectrum sharing between cellular systems and radars. The book addresses a novel way to design radar waveforms that can enable spectrum sharing between radars and communication systems, without causing interference to communication systems, and at the same time achieving radar objectives of target detection, estimation, and tracking. The book includes a MATLAB-based approach, which provides reader with a way to learn, experiment, compare, and build on top of existing algorithms.
Author : J. R. Guerci
Publisher : Artech House Publishers
ISBN 13 : 9781596933644
Total Pages : 175 pages
Book Rating : 4.9/5 (336 download)
Download or read book Cognitive Radar written by J. R. Guerci and published by Artech House Publishers. This book was released on 2010 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive radar (CR) refers to radar that is capable of interacting intelligently with its environment by adapting both its transmit and receive functions based on contextual awareness and expert reasoning. Chronicling the new field, this cutting-edge resource provides an accessible introduction to the theory and applications of CR, and presents a comprehensive overview of the latest developments in this emerging area. The first book on the subject, this unique volume covers important breakthroughs in advanced radar systems, and offers new and powerful methods for combating difficult clutter environments. Professionals find details on specific algorithmic and real-time high-performance embedded computing (HPEC) architectures. This practical book is supported with numerous examples that clarify key topics, and includes more than 370 equations.
Author : Jamie Bergin
Publisher : Artech House Publishers
ISBN 13 : 9781630813420
Total Pages : 0 pages
Book Rating : 4.8/5 (134 download)
Download or read book MIMO Radar written by Jamie Bergin and published by Artech House Publishers. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive new resource provides in-depth and timely coverage of the underpinnings and latest advances of MIMO radar. This book provides a comprehensive introduction to MIMO radar and demonstrates it's utility in real-world applications, then culminates with the latest advances in optimal and adaptive MIMO radar for enhanced detection and target ID in challenging environments. Signal processing prerequisites are explained, including radar signals, orthogonal waveforms, matched filtering, multi-channel beam forming, and Doppler processing. This book discusses MIMO radar signal model, antenna properties, system modeling and waveform alternatives. MIMO implantation challenges are covered, including computational complexity, adaptive clutter mitigation, calibration and equalization, and hardware constraints.Applications for GMTI radar, OTH radar, maritime radar, and automotive radar are explained. The book offers an introduction to optimum MIMO radar and includes details about detection, clutter, and target ID. Insight into adaptive MIMO radar and MIMO channel estimation is presented and techniques and illustrative examples are given. Readers find exclusive flight testing data from DARPA. The breadth of coverage in this all-inclusive resource makes it suitable for both practicing engineers and advanced researchers. The book concludes with discussions on areas for future research.
Author : Fulvio Gini
Publisher : IET
ISBN 13 : 1849192650
Total Pages : 573 pages
Book Rating : 4.8/5 (491 download)
Download or read book Waveform Design and Diversity for Advanced Radar Systems written by Fulvio Gini and published by IET. This book was released on 2012-05-18 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to discuss current and future applications of waveform diversity and design in subjects such as radar and sonar, communications systems, passive sensing, and many other technologies. Waveform diversity allows researchers and system designers to optimize electromagnetic and acoustic systems for sensing, communications, electronic warfare or combinations thereof. It enables solutions to problems with how each system performs its own particular function as well as how it is affected by other systems and how those other systems may likewise be affected. It is an excellent standalone introduction to waveform diversity and design, which takes a high potential technology area and makes it visible to other researchers, as well as young engineers.
Author : Mohammad Alaee-Kerahroodi
Publisher : Artech House
ISBN 13 : 1630818933
Total Pages : 379 pages
Book Rating : 4.6/5 (38 download)
Download or read book Signal Design for Modern Radar Systems written by Mohammad Alaee-Kerahroodi and published by Artech House. This book was released on 2022-11-30 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives you a comprehensive overview of key optimization tools that can be used to design radar waveforms and adaptive signal processing strategies under practical constraints -- strategies such as power method-like iterations, coordinate descent, and majorization-minimization – that help you to meet the more and more stressing sensing system requirements. The book walks you through how radar waveform synthesis is obtained as the solution to a constrained optimization problem such as finite energy, unimodularity (or being constant-modulus), and finite or discrete-phase (potentially binary) alphabet, which are dictated by the practical limitations of the real systems. Several approaches in each of these broad frameworks are detailed and various applications of these optimization techniques are described. Focusing on a holistic approach rather than a problem-specific approach, the book shows you what you need to effectively formulate waveform design and understand the flexibility of the framework for adapting to your own specific needs. You’ll have full access to the tools and knowledge you need to design waveform with optimized correlation/cross-correlation properties for SISO/SIMO and MIMO radars, taking into account spectral constraints for cognitive rads, as well as coexistence with communications and mitigate possible Doppler and quantization errors, and more. The book also includes representative software codes that further help you generate the described solutions. With its unique style of covering mathematical results along with their applications from diverse areas, this is a much-needed, detailed handbook for industry researchers, scientists and designers including medical, marine, defense, and automotive companies. It is also an excellent resource for advanced courses on radar signal processing.
Author : Junhyeong Bae
Publisher :
ISBN 13 :
Total Pages : 124 pages
Book Rating : 4.:/5 (867 download)
Download or read book Adaptive Waveforms for Automatic Target Recognition and Range-Doppler Ambiguity Mitigation in Cognitive Sensor written by Junhyeong Bae and published by . This book was released on 2013 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation shows the performance of adaptive waveforms when applied to two radar applications. One application is automatic target recognition (ATR) and the other application is range-Doppler ambiguity mitigation. The adaptive waveforms are implemented via a feedback loop from receiver to transmitter, such that previous radar measurements affect how the adaptive waveforms proceed. For the ATR application, adaptive transmitter can change the waveform's temporal structure to improve target recognition performance. For range-Doppler ambiguity mitigation application, adaptive transmitter can change the pulse repetition frequency (PRF) to mitigate range and Doppler ambiguity. In the ATR application, commercial electromagnetic software is used to create high-fidelity aircraft target signatures. Realistic waveform constraints are applied to show radar performance. The radar equation is incorporated into the waveform design technique and template-based classification is performed. Translation invariant feature is used for inaccurately known range scenario. The performance of adaptive waveforms is evaluated with not only a monostatic radar, but also widely separated MIMO radar. In MIMO radar, multiple transmit waveforms are used, but spectral leakage caused by constant-modulus constraint shows minimal interference effect. In the range-Doppler ambiguity mitigation application, particle-filter-based track-before-detect for a single target is extended to track and detect multiple low signal-to-noise ratio (SNR) targets, simultaneously. To mitigate ambiguity, multiple PRFs are used and improved PRF selection technique is implemented via predicted entropy computation when both blind and clutter zones are considered.
Author : Ioannis Kyriakides
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608455777
Total Pages : 109 pages
Book Rating : 4.6/5 (84 download)
Download or read book Adaptive High-Resolution Sensor Waveform Design for Tracking written by Ioannis Kyriakides and published by Morgan & Claypool Publishers. This book was released on 2010-04-04 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent innovations in modern radar for designing transmitted waveforms, coupled with new algorithms for adaptively selecting the waveform parameters at each time step, have resulted in improvements in tracking performance. Of particular interest are waveforms that can be mathematically designed to have reduced ambiguity function sidelobes, as their use can lead to an increase in the target state estimation accuracy. Moreover, adaptively positioning the sidelobes can reveal weak target returns by reducing interference from stronger targets. The manuscript provides an overview of recent advances in the design of multicarrier phase-coded waveforms based on Bjorck constant-amplitude zero-autocorrelation (CAZAC) sequences for use in an adaptive waveform selection scheme for mutliple target tracking. The adaptive waveform design is formulated using sequential Monte Carlo techniques that need to be matched to the high resolution measurements. The work will be of interest to both practitioners and researchers in radar as well as to researchers in other applications where high resolution measurements can have significant benefits. Table of Contents: Introduction / Radar Waveform Design / Target Tracking with a Particle Filter / Single Target tracking with LFM and CAZAC Sequences / Multiple Target Tracking / Conclusions
Author :
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.:/5 (64 download)
Download or read book Cognitive Radar written by and published by . This book was released on 2010 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several advances were made toward a foundation for cognitive radar. Several extensions to optimum or matched waveform theory were completed, including formalization of a random-target variance function used in the design methods, extensions to MIMO radar for target identification, information-based waveforms in the presence of ground clutter, incorporation of constant-modulus design techniques, and an adaptive PRK selection technique. These techniques were also applied to spatial waveform design (i.e. beamshaping) in order to develop the fundamentals for a cooperative multiplatform air-to-ground surveillance capability. Two techniques based on the covariance of target track states were developed for integrating detection and tracking into the same Bayesian framework, as well as probability updating techniques in target parameter space for multi-platform detection and tracking. This allowed for beamsteering toward areas in a scene where target presence and/or parameters were most uncertain.
Author : Ngoc Hung Nguyen
Publisher : Academic Press
ISBN 13 : 0081026471
Total Pages : 188 pages
Book Rating : 4.0/5 (81 download)
Download or read book Signal Processing for Multistatic Radar Systems written by Ngoc Hung Nguyen and published by Academic Press. This book was released on 2019-10-25 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms addresses three important aspects of signal processing for multistatic radar systems, including adaptive waveform selection, optimal geometries and pseudolinear tracking algorithms. A key theme of the book is performance optimization for multistatic target tracking and localization via waveform adaptation, geometry optimization and tracking algorithm design. Chapters contain detailed mathematical derivations and algorithmic development that are accompanied by simulation examples and associated MATLAB codes. This book is an ideal resource for university researchers and industry engineers in radar, radar signal processing and communications engineering. Develops waveform selection algorithms in a multistatic radar setting to optimize target tracking performance Assesses the optimality of a given target-sensor geometry and designs optimal geometries for target localization using mobile sensors Gives an understanding of low-complexity and high-performance pseudolinear estimation algorithms for target localization and tracking in multistatic radar systems Contains the MATLAB codes for the examples used in the book
Author : Yijian Xiang
Publisher :
ISBN 13 :
Total Pages : 116 pages
Book Rating : 4.:/5 (119 download)
Download or read book Cognitive Radar Detection in Nonstationary Environments and Target Tracking written by Yijian Xiang and published by . This book was released on 2020 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Target detection and tracking are the most fundamental and important problems in a wide variety of defense and civilian radar systems. In recent years, to cope with complex environments and stealthy targets, the concept of cognitive radars has been proposed to integrate intelligent modules into conventional radar systems. To achieve better performance, cognitive radars are designed to sense, learn from, and adapt to environments. In this dissertation, we introduce cognitive radars for target detection in nonstationary environments and cognitive radar networks for target tracking.For target detection, many algorithms in the literature assume a stationary environment (clutter). However, in practical scenarios, changes in the nonstationary environment can perturb the parameters of the clutter distribution or even alter the clutter distribution family, which can greatly deteriorate the target detection capability. To avoid such potential performance degradation, cognitive radar systems are envisioned which can rapidly recognize the nonstationarity, accurately learn the new characteristics of the environment, and adaptively update the detector. To achieve this cognition, we propose a unifying framework that integrates three functions: (i) change-point detection of clutter distributions by using a data-driven cumulative sum (CUSUM) algorithm and its extended version, (ii) learning/identification of clutter distribution by using kernel density estimation (KDE) methods and similarity measures (iii) adaptive target detection by automatically modifying the likelihood-ratio test and the corresponding detection threshold. We also conduct extensive numerical experiments to show the merits of the proposed method compared to a nonadaptive case, an adaptive matched filter (AMF) method, and the clairvoyant case.For target tracking, with remarkable advances in sensor techniques and deployable platforms, a sensing system has freedom to select a subset of available radars, plan their trajectories, and transmit designed waveforms. Accordingly, we propose a general framework for single target tracking in cognitive networks of radars, including joint consideration of waveform design, path planning, and radar selection. We formulate the tracking procedure using the theories of dynamic graphical models (DGM) and recursive Bayesian state estimation (RBSE). This procedure includes two iterative steps: (i) solving a combinatorial optimization problem to select the optimal subset of radars, waveforms, and locations for the next tracking instant, and (ii) acquiring the recursive Bayesian state estimation to accurately track the target. Further, we use an illustrative example to introduce a specific scenario in 2-D space. Simulation results based on this scenario demonstrate that the proposed framework can accurately track the target under the management of a network of radars.
