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This authoritative, leading-edge resource gives you a comprehensive overview of sample rate conversion (SRC) and its applications in software configurable radios. The book helps you understand the limits of feasible systems for sample rate conversion, as well as the limits of interpolation. You get sound advice on selecting the appropriate types of SRC for specific applications, and assistance in handling the trade-off between hardware complexity and the clock rate of a system. From an introduction to software radio and a refresher on the fundamentals of sampling and sample rate conversion, to discussions on block signal processing and well-known and novel structures for sample rate conversion, the book offers you practical guidance that enables you to quickly find solutions for your challenging projects in the field. This first-of-its-kind reference concludes with a list of questions that - when answered - helps to design a system for sample rate conversion. Over 890 equations and 90 illustrations support key topics throughout the book.
This is a systematic introduction to airborne MTI radar design in use in the fields of earth observation, surveillance and reconnaissance, with particular regard to the suppression of clutter returns. It explores signal processing techniques, jamming and system applications, including sonar.
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).
Annotation This is a systematic introduction to MTI (moving target indication) system design for use in the fields of earth observation, surveillance and reconnaisance, with particular regard to the suppression of clutter returns. Coverage includes signal processing, clutter models, array processinig theory, adapted linear arrays, non-linear antenna configurations, circular arrays, space-frequency techniques, and clutter suppression jamming conditions. This book is a follow up to the author's successful first book on STAP.
This text discusses various applications of space-time adaptive processing, including applications in OTH-radar, ground target tracking, STAP in real world clutter environments, jammer cancellation, superresolution, active sonar, seismics and communications. It is divided into two parts: the first dealing with the classical adaptive suppression of airborne and spacebased radar clutter, and the second comprising of miscellaneous applications in other fields such as communications, underwater sound and seismics.
The following topics are dealt with: space-time adaptive processing; airborne radar; space-time adaptive matched field processing; acoustics; seismic reflection imaging procedure; common reflection surface; code division multiple access system; space division multiple access system; time division multiple access system; underwater communications; vertical receiver arrays; interference suppression; interference equalisation; space-time coding; FIR filters; clutter suppression; omnidirectional antenna arrays; spaceborne radar; parallel processing architectures; deterministic techniques; ground target tracking; space-fast time techniques; and broadband arrays
In airborne surveillance radar applications, adaptive antennas provide for the detection of small targets in severe clutter environments. Adaptive antennas are currently being considered for the design of next generation surveillance platforms. The radar problem is two-dimensional with radar returns being a function of both angle and Doppler. Space-Time Adaptive Processing (STAP) is required for rejection of interferences in the space-time domains. To make STAP feasible for incorporation into future systems, low complexity algorithms are required. The space-time radar problem is well suited to the application of techniques that take advantage of the low-rank properties associated with the interference in such radars. The Eigencanceler is an interference cancellation method based on the spectral decomposition (eigenanalysis) of the space-time covariance matrix. The linear space spanned by the columns of the space-time covariance matrix is formed by the union of the algebraic spaces of the interference and the noise. The Eigencanceler's weight vector is designed to lie in the noise subspace and to provide a prescribed gain to the desired signal. Thus significant computational savings are realized since a Weiner filter requires a matrix inversion, while the eigencanceler is implemented by computing only a limited number of interference eigenvectors.
Walks the reader through adaptive approaches to radar signal processing by detailing the basic concepts of various techniques and then developing equations to analyze their performance. Finally, it presents curves that illustrate the attained performance.
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.
Principles of Radar and Sonar Signal Processing offers you a thorough presentation of the latest technologies in conventional and adaptive signal processing theory, and covers techniques for detailed analysis of physical signatures of targets and clutter. You learn how target signature analysis provides you with a better understanding of the various techniques used in anechoic chambers and modern radar systems. Examples of signatures give you a greater insight into classification problems. A discussion on low frequency systems, wideband radars, and STAP provides you with a better awareness of physical limits and future developments.
Learn about the latest theoretical and practical advances in radar signal processing using tools from compressive sensing.
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.
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.
