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Adaptive Radar Resource Management
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Book Synopsis Adaptive Radar Resource Management by : Peter Moo
Download or read book Adaptive Radar Resource Management written by Peter Moo and published by Academic Press. This book was released on 2015-07-23 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radar Resource Management (RRM) is vital for optimizing the performance of modern phased array radars, which are the primary sensor for aircraft, ships, and land platforms. Adaptive Radar Resource Management gives an introduction to radar resource management (RRM), presenting a clear overview of different approaches and techniques, making it very suitable for radar practitioners and researchers in industry and universities. Coverage includes: RRM’s role in optimizing the performance of modern phased array radars The advantages of adaptivity in implementing RRM The role that modelling and simulation plays in evaluating RRM performance Description of the simulation tool Adapt_MFR Detailed descriptions and performance results for specific adaptive RRM techniques The only book fully dedicated to adaptive RRM A comprehensive treatment of phased array radars and RRM, including task prioritization, radar scheduling, and adaptive track update rates Provides detailed knowledge of specific RRM techniques and their performance
Book Synopsis Advances in Adaptive Radar Detection and Range Estimation by : Chengpeng Hao
Download or read book Advances in Adaptive Radar Detection and Range Estimation written by Chengpeng Hao and published by Springer Nature. This book was released on 2021-12-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and systematic framework for the design of adaptive architectures, which take advantage of the available a priori information to enhance the detection performance. Moreover, this framework also provides guidelines to develop decision schemes capable of estimating the target position within the range bin. To this end, the readers are driven step-by-step towards those aspects that have to be accounted for at the design stage, starting from the exploitation of system and/or environment information up to the use of target energy leakage (energy spillover), which allows inferring on the target position within the range cell under test.In addition to design issues, this book presents an extensive number of illustrative examples based upon both simulated and real-recorded data. Moreover, the performance analysis is enriched by considerations about the trade-off between performances and computational requirements.Finally, this book could be a valuable resource for PhD students, researchers, professors, and, more generally, engineers working on statistical signal processing and its applications to radar systems.
Book Synopsis Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach, Second Edition by : Joseph R. Guerci
Download or read book Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach, Second Edition written by Joseph R. Guerci and published by Artech House. This book was released on 2020-06-30 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Adaptive Radar by : Frederick W. Lee
Download or read book Adaptive Radar written by Frederick W. Lee and published by . This book was released on 1990 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Based Radar Detection, Tracking and Classification by : Fulvio Gini
Download or read book Knowledge Based Radar Detection, Tracking and Classification written by Fulvio Gini and published by John Wiley & Sons. This book was released on 2008-06-09 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches by : Angelo Coluccia
Download or read book Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches written by Angelo Coluccia and published by Artech House. This book was released on 2022-11-30 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows you how to adopt data-driven techniques for the problem of radar detection, both per se and in combination with model-based approaches. In particular, the focus is on space-time adaptive target detection against a background of interference consisting of clutter, possible jammers, and noise. It is a handy, concise reference for many classic (model-based) adaptive radar detection schemes as well as the most popular machine learning techniques (including deep neural networks) and helps you identify suitable data-driven approaches for radar detection and the main related issues. You’ll learn how data-driven tools relate to, and can be coupled or hybridized with, traditional adaptive detection statistics; understand fundamental concepts, schemes, and algorithms from statistical learning, classification, and neural networks domains. The book also walks you through how these concepts and schemes have been adapted for the problem of radar detection in the literature and provides you with a methodological guide for the design, illustrating different possible strategies. You’ll be equipped to develop a unified view, under which you can exploit the new possibilities of the data-driven approach even using simulated data. This book is an excellent resource for Radar professionals and industrial researchers, postgraduate students in electrical engineering and the academic community.
Download or read book Cognitive Radar written by J. R. Guerci and published by Artech House. This book was released on 2010 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Space-Time Adaptive Processing for Radar, Second Edition by : J.R. Guerci
Download or read book Space-Time Adaptive Processing for Radar, Second Edition written by J.R. Guerci and published by Artech House. This book was released on 2014-11-01 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Space-time adaptive processing (STAP) is an exciting technology for advanced radar systems that allows for significant performance enhancements over conventional approaches. Based on a time-tested course taught in industry, government and academia, this second edition reviews basic STAP concepts and methods, placing emphasis on implementation in real-world systems. It addresses the needs of radar engineers who are seeking to apply effective STAP techniques to their systems, and serves as an excellent reference for non-radar specialists with an interest in the signal processing applications of STAP. Engineers find the analysis tools they need to assess the impact of STAP on a variety of important radar applications. A toolkit of STAP algorithms and implementation techniques allows practitioners the flexibility of adapting the best methods to their application. In addition, this second edition adds brand new coverage on “STAP on Transmit” and “Knowledge-Aided STAP (KA-STAP).
Book Synopsis A Recursive Approach for Adaptive Parameters Selection in a Multifunction Radar by : Mohammed Saad W. Alahmadi
Download or read book A Recursive Approach for Adaptive Parameters Selection in a Multifunction Radar written by Mohammed Saad W. Alahmadi and published by . This book was released on 2015 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multifunction radar is a modern system that is capable of performing multiple radar functions simultaneously, such as surveillance, target tracking, weather monitoring, etc. This class of radar, multifunction radar (MFR), requires a control function, resource manager, to balance the use of its finite resources among the multiple functions. Hence, the multifunction radar performance is limited by the resource manager intelligent behavior to allocate the system resources. This thesis addresses the challenge of using radar resource management (RRM) to provide the attention element of cognition for radar systems. A recursive form of the radar resource allocation problem is proposed that uses prior knowledge about the target to refine the radar parameters every time the radar revisiting the target. This approach enables the radar system to be more sensitive to the change in the environment and therefore adapt its parameters accordingly.
Book Synopsis Adaptive Radar Detection and Estimation by : Simon Haykin
Download or read book Adaptive Radar Detection and Estimation written by Simon Haykin and published by Wiley-Interscience. This book was released on 1992-04-15 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive processing in a radar environment is necessary due to its inherently nonstable nature. A detailed mathematical treatment of the important issues in adaptive radar detection and estimation is offered. Since much of the material presented has not appeared in book form, you'll find this work fills an important gap in the known literature. Following an overview of the subject, contributors develop model-based techniques for the detection of radar targets in the presence of clutter; discuss minimum variance beamforming techniques; consider maximum likelihood bearing estimation in beamspace for an adaptive phased array radar; present an algorithm for angle-of-arrival estimation; and describe the method of multiple windows for spectrum estimation.
Book Synopsis Resource Management of Flexible Sensors. Part 1 - Phased Array Radar Simulator by : B. N. Navid
Download or read book Resource Management of Flexible Sensors. Part 1 - Phased Array Radar Simulator written by B. N. Navid and published by . This book was released on 1969 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: A preliminary simulation model of the search mode of a phased array radar has been developed. The basic components are a search strategy for the radar, an evasion policy for the target, and a simple radar environment. At present there is no attempt at adaptive modification of either component. A particular search strategy has been chosen. There is provision in the simulator to modify the procedure, however. The evasion policy of the target is one of changing course at random times with random deviations. It is planned to develop the tracking package next. The approach will be through a Kalman-Bucy filter.
Book Synopsis Evaluation of the Multifunction Phased Array Radar Planning Process by : National Research Council
Download or read book Evaluation of the Multifunction Phased Array Radar Planning Process written by National Research Council and published by National Academies Press. This book was released on 2008-09-14 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Multifunction Phased Array Radar (MPAR) is one potentially cost-effective solution to meet the surveillance needs and of several agencies currently using decades-old radar networks. These agencies including the National Oceanic and Atmospheric Administration s (NOAA) National Weather Service (NWS), the Federal Aviation Administration (FAA), the Department of Defense (DOD) and the Department of Homeland Security (DHS) have many and varied requirements and possible applications of modern radar technology. This book analyzes what is lacking in the current system, the relevant capabilities of phased array technology, technical challenges, cost issues, and compares possible alternatives. Both specific and overarching recommendations are outlined.
Author :Institution of Electrical Engineers. Electronics Division. Professional groups E15 and E11 Publisher : ISBN 13 : Total Pages : pages Book Rating :4.:/5 (825 download)
Book Synopsis Real-time Management of Adaptive Radar Systems by : Institution of Electrical Engineers. Electronics Division. Professional groups E15 and E11
Download or read book Real-time Management of Adaptive Radar Systems written by Institution of Electrical Engineers. Electronics Division. Professional groups E15 and E11 and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Radar Signal Processing and Adaptive Systems by : Ramon Nitzberg
Download or read book Radar Signal Processing and Adaptive Systems written by Ramon Nitzberg and published by Artech House Radar Library (Ha. This book was released on 1999 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable resource for radar engineers and managers of all levels, this revised edition provides an introduction to the capabilities and limitations of radar, as well as a detailed advanced study of key radar signal processing topics. The book explains the concepts and theory of radar signal processing such as resolution, ambiguities, antennas, waveforms, the theory of detecting targets in noise and/or clutter, and tracking using data processing. It also presents equations for the determination of maximum radar range in free space and as affected by multipath and the horizon.
Book Synopsis Coordinated Radar Resource Management for Networked Phased Array Radars by : Peter W. Moo
Download or read book Coordinated Radar Resource Management for Networked Phased Array Radars written by Peter W. Moo and published by . This book was released on 2014 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This paper considers whether coordinated radar resource management (RRM), which exploits the sharing of tracking and detection data between radars, enhances performance compared to Independent RRM"--Abstract.
Book Synopsis Advancing Fully Adaptive Radar Concepts for Real-time Parameter Adaptation and Decision Making by : Peter John-Baptiste (Jr)
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.
Book Synopsis Phased-Array Radar Design by : Thomas W. Jeffrey
Download or read book Phased-Array Radar Design written by Thomas W. Jeffrey and published by IET. This book was released on 2009-06-30 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a concise yet complete treatment of the relationship between mission-level requirements and specific hardware and software requirements and capabilities. Although focusing on surface-based radars, the material is general enough to serve as a useful addition to books currently available for this purpose.
