Cognitive Radar Systems Design
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Cognitive Radar Systems Design
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Author : Yogesh Nijsure
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2014-03
Cognitive Radar Systems Design written by Yogesh Nijsure and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03 with categories.
In recent years, several emerging technologies in modern radar system design are attracting the attention of radar researchers and practitioners alike, noteworthy among which are multiple-input multiple-output(MIMO), ultra wideband (UWB) and joint communication-radar technologies. This book, in particular focuses upon a cognitive approach to design these modern radars. In the existing literature, these technologies have been implemented on a traditional platform in which the transmitter and receiver subsystems are discrete and do not exchange vital radar scene information. Although such radar architectures benefit from these mentioned technological advances, their performance remains sub-optimal due to the lack of exchange of dynamic radar scene information between the subsystems. Consequently, such systems are not capable to adapt their operational parameters "on the fly," which is in accordance with the dynamic radar environment. This book explores the research gap of evaluating cognitive mechanisms, which could enable modern radars to adapt their operational parameters like waveform, power and spectrum by continually learning about the radar scene.
The Impact Of Cognition On Radar Technology
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Author : Alfonso Farina
language : en
Publisher: SciTech Publishing
Release Date : 2017
The Impact Of Cognition On Radar Technology written by Alfonso Farina and has been published by SciTech Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Technology & Engineering categories.
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. The Impact of Cognition on Radar Technology is an essential exploration of the application of cognitive concepts in the development of modern phased array radar systems for surveillance. It starts by asking whether our current radar systems already have cognitive capabilities and then discusses topics including: mimicking the visual brain; applications to CFAR detection and receiver adaptation; cognitive radar waveform design for spectral compatibility; cognitive optimization of the transmitter-receiver pair; theory and application of cognitive control; cognition in radar target tracking; anticipative target tracking; cognition in MIMO radar, electronic warfare, and synthetic aperture radar. The book concludes with a cross-disciplinary review of cognition studies with potential lessons for radar systems.
Cognitive Radar Network Design And Applications
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Author : Yogesh Anil Nijsure
language : en
Publisher:
Release Date : 2012
Cognitive Radar Network Design And Applications written by Yogesh Anil Nijsure and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Advanced Signal Processing Techniques For Cognitive Radar Systems
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Author : Ahmed Abdou Abouelfadl Mohamed Abdalla
language : en
Publisher:
Release Date : 2020
Advanced Signal Processing Techniques For Cognitive Radar Systems written by Ahmed Abdou Abouelfadl Mohamed Abdalla and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
"This thesis introduces novel signal processing algorithms for cognitive radar systems that consider the constraints of operation under real scenarios as well as hardware limitations. Specifically, the thesis focuses on the analysis and practical solution of three key problems encountered in the design and realization of the signal processing chain within the cognitive new-generation radars. Firstly, we consider detecting and excluding the non-homogeneous received data from the estimation of the interference covariance matrix. The available non-homogeneity detectors (NHDs) in the literature require estimating the covariance matrix for each examined data cell, leading to exacerbating the NHD complexity, especially with large-dimensional data. Instead, we employ the projection depth functions, inherited from the field of robust statistics, to formulate a new NHD test statistic that avoids estimating the covariance matrix. Moreover, the projection depth function converts the multivariate problem to a scalar one, evading the exponential growth of the computational complexity with the data dimension.\par Secondly, we turn our attention to a scarcely but nevertheless important discussed aspect of radar system, namely the waveform design for cognitive multi-input multi-output (MIMO) radars taking into account the reflective properties of the transmitting antenna array. For the first time, we propose a waveform design method using proximal optimization that not only improves the signal-to-interference plus noise ratio (SINR), but also lowers the reflected power from the transmitting antenna array. Consequently, the proposed waveform design method increases the radar system efficiency and protects the amplification unit of the transmitter, while at the same time, significantly improves the SINR. Finally, we introduce a novel formulation of the target frequency response (TFR) estimation problem, a crucial requirement for cognitive radars. Under the conventional assumption of a linear Gaussian model, the TFR is usually estimated using the Kalman filter. Surprisingly, even though in practice this assumption is often violated and the Kalman filter is no longer an optimal solution, the study of TFR estimation for more general models has not yet been considered. In our proposed formulation, the infinite hidden Markov model (iHMM) is used in TFR estimation without prior knowledge of the channel or the interference. Interestingly, when iterated over multiple pulses and under jamming conditions, the proposed estimation method exhibits superior performance compared to the Kalman and particle filters for different TFR models. Throughout the thesis, the newly proposed algorithms are evaluated by objective Monte Carlo simulations with different clutter distributions and radar parameters. Under the considered evaluation conditions, the results clearly show that the proposed methods can provide superior performance to existing benchmarks from the literature"--
Signal Design For Modern Radar Systems
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Author : Mohammad Alaee-Kerahroodi
language : en
Publisher: Artech House
Release Date : 2022-11-30
Signal Design For Modern Radar Systems written by Mohammad Alaee-Kerahroodi and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Technology & Engineering categories.
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.
Next Generation Cognitive Radar Systems
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Author : Kumar Vijay Mishra
language : en
Publisher: SciTech Publishing
Release Date : 2024
Next Generation Cognitive Radar Systems written by Kumar Vijay Mishra and has been published by SciTech Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Technology & Engineering categories.
This book brings together contributions from leading researchers who are engaged in the research and development of next generation cognitive abilities in radar engineering. It features recent advances in the theory and applications of advanced Cognitive Radar (CR) tools as well as examines emerging challenges. The chapters include mathematical and computational methods to combat important CR challenges as well as the applications of recent theories and algorithms to various applied CR aspects. The book is intended to be used as a supplementary text for first-level graduate courses on radar theory and systems, radar signal processing, detection and estimation theory, and array signal processing. The book can also be used as a main textbook for upper-level graduate courses such as advanced topics in electromagnetics, advanced topics in radar, rf and communications, and contemporary topics in signal processing and optimization.
Cognitive Radar
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Author : J. R. Guerci
language : en
Publisher: Artech House
Release Date : 2010
Cognitive Radar written by J. R. Guerci and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Adaptive signal processing categories.
Chronicling the new field of cognitive radar (CR), 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, Cognitive Radar covers important breakthroughs in advanced radar systems, and offers new and powerful methods for combating difficult clutter environments. You 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.
New Methodologies For Understanding Radar Data
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Author : Amit Kumar Mishra
language : en
Publisher: SciTech Publishing
Release Date : 2022-01-10
New Methodologies For Understanding Radar Data written by Amit Kumar Mishra and has been published by SciTech Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-10 with Technology & Engineering categories.
Radar signals are one of the most challenging signals to process, because of the extreme signal to noise ratio and the dynamic range of the signals. This book gives readers an analysis of the various tools available to help better understand radar data, including coverage of new machine learning and statistical methods.
Cognitive Radar Detection In Nonstationary Environments And Target Tracking
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Author : Yijian Xiang
language : en
Publisher:
Release Date : 2020
Cognitive Radar Detection In Nonstationary Environments And Target Tracking written by Yijian Xiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Electronic dissertations categories.
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.
Novel Radar Techniques And Applications
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Author : Richard Klemm
language : en
Publisher: IET
Release Date : 2017-10-23
Novel Radar Techniques And Applications written by Richard Klemm and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-23 with Technology & Engineering categories.
This volume presents the state-of-the-art in advanced radar, with emphasis on ongoing novel research and development and contributions from an international team of leading radar experts.