Next Generation Cognitive Radar Systems
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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 The Knowledge Aided Fully Adaptive Approach Second Edition
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Author : Joseph R. Guerci
language : en
Publisher: Artech House
Release Date : 2020-06-30
Cognitive Radar The Knowledge Aided Fully Adaptive Approach Second Edition written by Joseph 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 2020-06-30 with Technology & Engineering categories.
This highly-anticipated second edition of the bestselling Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach, the first book on the subject, provides up-to-the-minute advances in the field of cognitive radar (CR). Adaptive waveform methods are discussed in detail, along with optimum resource allocation and radar scheduling. Chronicling the 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. It 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.
Knowledge Based Radar Detection Tracking And Classification
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Author : Fulvio Gini
language : en
Publisher: John Wiley & Sons
Release Date : 2008-06-09
Knowledge Based Radar Detection Tracking And Classification written by Fulvio Gini and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-09 with Science categories.
Discover the technology for the next generation of radar systems Here is the first book that brings together the key concepts essential for the application of Knowledge Based Systems (KBS) to radar detection, tracking, classification, and scheduling. The book highlights the latest advances in both KBS and radar signal and data processing, presenting a range of perspectives and innovative results that have set the stage for the next generation of adaptive radar systems. The book begins with a chapter introducing the concept of Knowledge Based (KB) radar. The remaining nine chapters focus on current developments and recent applications of KB concepts to specific radar functions. Among the key topics explored are: Fundamentals of relevant KB techniques KB solutions as they apply to the general radar problem KBS applications for the constant false-alarm rate processor KB control for space-time adaptive processing KB techniques applied to existing radar systems Integrated end-to-end radar signals Data processing with overarching KB control All chapters are self-contained, enabling readers to focus on those topics of greatest interest. Each one begins with introductory remarks, moves on to detailed discussions and analysis, and ends with a list of references. Throughout the presentation, the authors offer examples of how KBS works and how it can dramatically improve radar performance and capability. Moreover, the authors forecast the impact of KB technology on future systems, including important civilian, military, and homeland defense applications. With chapters contributed by leading international researchers and pioneers in the field, this text is recommended for both students and professionals in radar and sonar detection, tracking, and classification and radar resource management.
Cognitive Radar
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Author : Yanbo Xue
language : en
Publisher:
Release Date : 2010
Cognitive Radar written by Yanbo Xue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Radar categories.
For over six decades, the theory and design of radar systems have been dominated by probability theory and statistics, information theory, signal processing and control. However, the similar encoding-decoding property that exists between the visual brain and radar has been sadly overlooked in all radar systems. This thesis lays down the foundation of a new generation of radar systems, namely cognitive radar, that was described in a 2006 seminal paper by Haykin. Four essential elements of cognitive radar are Bayesian filtering in the receiver, dynamic programming in the transmitter, memory, and global feedback to facilitate computational intelligence. All these elements excluding the memory compose a well known property of mammalian cortex, the perception-action cycle. As such, the cognitive radar that has only this cycle is named as the basic cognitive radar (BCR). For tracking applications, this thesis presents the underlying theory of BCR, with emphasis being placed on the cubature Kalman filter to approximate the Bayesian filter in the receiver, dynamic optimization for transmit-waveform selection in the transmitter, and global feedback embodying the transmitter, the radar environment, and the receiver all under one overall feedback loop. Built on the knowledge learnt from the BCR, this thesis expands the basic perception-action cycle to encompass three more properties of human cognition, that is, memory, attention, and intelligence. Specifically, the provision for memory includes the three essential elements, i.e., the perceptual memory, executive memory, and coordinating perception-action memory that couples the first two memories. Provision of the three memories adds an advanced version of cognitive radar, namely the nested cognitive radar (NCR) in light of the nesting of three memories in the perception-action cycle. In this thesis, extensive computer simulations are also conducted to demonstrate the ability of this new radar concept over a conventional radar structure. Three important scenarios of tracking applications are considered, they are (a), linear target tracking; (b), falling object tracking; and (c), high-dimensional target tracking with continuous-discrete model. All simulation results confirm that cognitive radar outperforms the conventional radar systems significantly. In conducting the simulations, an interesting phenomenon is also observed, which is named the chattering effect . The underlying physics and mathematical model of this effect are discussed. For the purpose of studying the behaviour of cognitive radar in disturbance, demonstrative experiments are further conducted. Simulation results indicate the superiority of NCR over BCR and the conventional radar in low, moderate and even strong disturbance.
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.
Cognition Enabling Techniques For Next Generation Radar And Electronic Warfare Systems
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Author : Muharrem Arık
language : en
Publisher:
Release Date : 2019
Cognition Enabling Techniques For Next Generation Radar And Electronic Warfare Systems written by Muharrem Arık and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic systems categories.
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.
The Impact Of Cognition On Radar Technology
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Author : Alfonso Farina
language : en
Publisher:
Release Date : 2017
The Impact Of Cognition On Radar Technology written by Alfonso Farina and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Automatic tracking categories.
The following topics are dealt with: cognitive radar; CFAR detection; receiver adaptation; cognitive optimization; transmitter-receiver pair; radar target tracking; MIMO radar; electronic warfare and synthetic aperture radar.
Next Generation Wireless Systems And Networks
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Author : Hsiao-Hwa Chen
language : en
Publisher: John Wiley & Sons
Release Date : 2006-05-01
Next Generation Wireless Systems And Networks written by Hsiao-Hwa Chen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-01 with Technology & Engineering categories.
Next Generation Wireless Systems and Networks offers an expert view of cutting edge Beyond 3rd Generation (B3G) wireless applications. This self-contained reference combines the basics of wireless communications, such as 3G wireless standards, spread spectrum and CDMA systems, with a more advanced level research-oriented approach to B3G communications, eliminating the need to refer to other material. This book will provide readers with the most up-to-date technological developments in wireless communication systems/networks and introduces the major 3G standards, such as W-CDMA, CDMA2000 and TD-SCDMA. It also includes a focus on cognitive radio technology and 3GPP E-UTRA technology; areas which have not been well covered elsewhere. Covers many hot topics in the area of next generation wireless from the authors’ own research, including: Bluetooth, all-IP wireless networking, power-efficient and bandwidth-efficient air-link technologies, and multi-user signal processing in B3G wireless Clear, step-by-step progression throughout the book will provide the reader with a thorough grounding in the basic topics before moving on to more advanced material Addresses various important topics on wireless communication systems and networks that have emerged only very recently, such as Super-3G technology, 4G wireless, UWB, OFDMA and MIMO Includes a wealth of explanatory tables and illustrations This essential reference will prove invaluable to senior undergraduate and postgraduate students, academics and researchers. It will also be of interest to telecommunications engineers wishing to further their knowledge in this field.
Real Time Spectral Prediction And Metacognition For Spectrum Sharing Radar
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Author : Jacob Kovarskiy
language : en
Publisher:
Release Date : 2021
Real Time Spectral Prediction And Metacognition For Spectrum Sharing Radar written by Jacob Kovarskiy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
The growing demand for radio frequency (RF) spectrum access poses new challenges for next-generation radar systems. Recent Federal Communications Commission (FCC) policies permit wireless communication networks to share the spectrum with incumbent radar systems. To operate in a crowded electromagnetic environment, radars must coexist with other RF emitters while maintaining system performance. The concept of cognitive RF provides robust and innovative solutions to efficiently share and build awareness of the spectrum. Cognition is actualized by the perception-action cycle (PAC) which iteratively senses RF interference (RFI), learns RFI behavior over time, and adapts the radar's frequency band of operation. New developments in software defined radio (SDR) technology have enabled complex cognitive systems to be realized on hardware in real-time. This work 1) presents a cognitive spectrum sharing implementation based on spectral prediction, 2) compares this implementation against radars employing alternative cognitive strategies, and 3) introduces a metacognition architecture to optimize a radar's cognitive strategy with respect to the environment. The spectral prediction approach enables the radar to learn a stochastic model describing RF activity. Using this model, the radar adapts waveform parameters in anticipation of changes in the spectrum. Spectral prediction is demonstrated in conjunction with pulsed linear frequency modulated chirp waveforms as well as notched noise waveforms for coexistence. Additionally, this predictive implementation is compared to reactive and reinforcement learning-based spectrum sharing strategies. Experiments demonstrate that these different cognitive strategies are well suited to particular RFI scenarios. This indicates a need for radars to intelligently adapt cognitive strategies in changing environments. The bio-inspired concept of metacognition provides a framework for cognitive radar to achieve this via self-monitoring and regulation of the PAC. Here, we describe an algorithm selection process aided by metacognition theory. To demonstrate the efficacy of spectral prediction and metacognition for radar, real-time SDR implementations are evaluated. A comprehensive set of synthetic RFI, emulated long-term evolution (LTE) RFI, and real measured RFI scenarios are used to characterize performance. These experiments measure the impact of RFI on radar processing and assess the relative performance improvements due to spectrum sharing. In measuring performance, a metric to characterize target detection quality is proposed based on the Jensen-Shannon divergence. Overall, this work presents a state-of-the-art review for cognitive RF, describes the theoretical background for each approach, details a real-time implementation for both predictive and metacognitive frameworks, and evaluates the performance of these implementations in a variety of RFI scenarios.