{"product_id":"mimo-radar-signal-processing-isbn-9780470178980","title":"MIMO Radar Signal Processing","description":"The first book to present a systematic and coherent picture of MIMO radars  \u003cp\u003eDue 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.\u003c\/p\u003e \u003cp\u003eEdited 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eAdaptive MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eBeampattern analysis and optimization for MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMIMO radar for target detection, parameter estimation, tracking,association, and recognition\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMIMO radar prototypes and measurements\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eSpace-time codes for MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eStatistical MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eWaveform design for MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten 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.\u003c\/p\u003e  PREFACE.  \u003cp\u003eCONTRIBUTORS.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 MIMO Radar — Diversity Means Superiority\u003c\/b\u003e (Jian Li and Petre Stoica).\u003c\/p\u003e \u003cp\u003e1.1 Introduction.\u003c\/p\u003e \u003cp\u003e1.2 Problem Formulation.\u003c\/p\u003e \u003cp\u003e1.3 Parameter Identifiability.\u003c\/p\u003e \u003cp\u003e1.4 Nonparametric Adaptive Techniques for Parameter Estimation.\u003c\/p\u003e \u003cp\u003e1.5 Parametric Techniques for Parameter Estimation.\u003c\/p\u003e \u003cp\u003e1.6 Transmit Beampattern Designs.\u003c\/p\u003e \u003cp\u003e1.7 Conclusions.\u003c\/p\u003e \u003cp\u003eAppendix IA Generalized Likelihood Ratio Test.\u003c\/p\u003e \u003cp\u003eAppendix 1B Lemma and Proof.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 MIMO Radar: Concepts, Performance Enhancements, and Applications\u003c\/b\u003e (Keith W. Forsythe and Daniel W. Bliss).\u003c\/p\u003e \u003cp\u003e2.1 Introduction.\u003c\/p\u003e \u003cp\u003e2.2 Notation.\u003c\/p\u003e \u003cp\u003e2.3 MIMO Radar Virtual Aperture.\u003c\/p\u003e \u003cp\u003e2.4 MIMO Radar in Clutter-Free Environments.\u003c\/p\u003e \u003cp\u003e2.5 Optimality of MIMO Radar for Detection.\u003c\/p\u003e \u003cp\u003e2.6 MIMO Radar with Moving Targets in Clutter: GMTI Radars.\u003c\/p\u003e \u003cp\u003e2.7 Summary.\u003c\/p\u003e \u003cp\u003eAppendix 2A A Localization Principle.\u003c\/p\u003e \u003cp\u003eAppendix 2B Bounds on R(N).\u003c\/p\u003e \u003cp\u003eAppendix 2C An Operator Norm Inequality.\u003c\/p\u003e \u003cp\u003eAppendix 2D Negligible Terms.\u003c\/p\u003e \u003cp\u003eAppendix 2E Bound on Eigenvalues.\u003c\/p\u003e \u003cp\u003eAppendix 2F Some Inner Products.\u003c\/p\u003e \u003cp\u003eAppendix 2G An Invariant Inner Product.\u003c\/p\u003e \u003cp\u003eAppendix 2H Kro¨necker and Tensor Products.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Generalized MIMO Radar Ambiguity Functions\u003c\/b\u003e (Geoffrey San Antonio, Daniel R. Fuhrmann, and Frank C. Robey).\u003c\/p\u003e \u003cp\u003e3.1 Introduction.\u003c\/p\u003e \u003cp\u003e3.2 Background.\u003c\/p\u003e \u003cp\u003e3.3 MIMO Signal Model.\u003c\/p\u003e \u003cp\u003e3.4 MIMO Parametric Channel Model.\u003c\/p\u003e \u003cp\u003e3.5 MIMO Ambiguity Function.\u003c\/p\u003e \u003cp\u003e3.6 Results and Examples.\u003c\/p\u003e \u003cp\u003e3.7 Conclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Performance Bounds and Techniques for Target Localization Using MIMO Radars\u003c\/b\u003e (Joseph Tabrikian).\u003c\/p\u003e \u003cp\u003e4.1 Introduction.\u003c\/p\u003e \u003cp\u003e4.2 Problem Formulation.\u003c\/p\u003e \u003cp\u003e4.3 Properties.\u003c\/p\u003e \u003cp\u003e4.4 Target Localization.\u003c\/p\u003e \u003cp\u003e4.5 Performance Lower Bound for Target Localization.\u003c\/p\u003e \u003cp\u003e4.6 Simulation Results.\u003c\/p\u003e \u003cp\u003e4.7 Discussion and Conclusions.\u003c\/p\u003e \u003cp\u003eAppendix 4A Log-Likelihood Derivation.\u003c\/p\u003e \u003cp\u003eAppendix 4B Transmit–Receive Pattern Derivation.\u003c\/p\u003e \u003cp\u003eAppendix 4C Fisher Information Matrix Derivation.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Adaptive Signal Design For MIMO Radars\u003c\/b\u003e (Benjamin Friedlander).\u003c\/p\u003e \u003cp\u003e5.1 Introduction.\u003c\/p\u003e \u003cp\u003e5.2 Problem Formulation.\u003c\/p\u003e \u003cp\u003e5.3 Estimation.\u003c\/p\u003e \u003cp\u003e5.4 Detection.\u003c\/p\u003e \u003cp\u003e5.5 MIMO Radar and Phased Arrays.\u003c\/p\u003e \u003cp\u003eAppendix 5A Theoretical SINR Calculation.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 MIMO Radar Spacetime Adaptive Processing and Signal Design\u003c\/b\u003e (Chun-Yang Chen and P. P. Vaidyanathan).\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 The Virtual Array Concept.\u003c\/p\u003e \u003cp\u003e6.3 Spacetime Adaptive Processing in MIMO Radar.\u003c\/p\u003e \u003cp\u003e6.4 Clutter Subspace in MIMO Radar.\u003c\/p\u003e \u003cp\u003e6.5 New STAP Method for MIMO Radar.\u003c\/p\u003e \u003cp\u003e6.6 Numerical Examples.\u003c\/p\u003e \u003cp\u003e6.7 Signal Design of the STAP Radar System.\u003c\/p\u003e \u003cp\u003e6.8 Conclusions.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Slow-Time MIMO SpaceTime Adaptive Processing\u003c\/b\u003e (Vito F. Mecca, Dinesh Ramakrishnan, Frank C. Robey, and Jeffrey L. Krolik).\u003c\/p\u003e \u003cp\u003e7.1 Introduction.\u003c\/p\u003e \u003cp\u003e7.2 SIMO Radar Modeling and Processing.\u003c\/p\u003e \u003cp\u003e7.3 Slow-Time MIMO Radar Modeling.\u003c\/p\u003e \u003cp\u003e7.4 Slow-Time MIMO Radar Processing.\u003c\/p\u003e \u003cp\u003e7.5 OTHr Propagation and Clutter Model.\u003c\/p\u003e \u003cp\u003e7.6 Simulations Examples.\u003c\/p\u003e \u003cp\u003e7.7 Conclusion.\u003c\/p\u003e \u003cp\u003eAcknowledgment.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 MIMO as a Distributed Radar System\u003c\/b\u003e (H. D. Griffiths, C. J. Baker, P. F. Sammartino, and M. Rangaswamy).\u003c\/p\u003e \u003cp\u003e8.1 Introduction.\u003c\/p\u003e \u003cp\u003e8.2 Systems.\u003c\/p\u003e \u003cp\u003e8.3 Performance.\u003c\/p\u003e \u003cp\u003e8.4 Conclusions.\u003c\/p\u003e \u003cp\u003eAcknowledgment.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Concepts and Applications of A MIMO Radar System with Widely Separated Antennas\u003c\/b\u003e (Hana Godrich, Alexander M. Haimovich, and Rick S. Blum).\u003c\/p\u003e \u003cp\u003e9.1 Background.\u003c\/p\u003e \u003cp\u003e9.2 MIMO Radar Concept.\u003c\/p\u003e \u003cp\u003e9.3 NonCoherent MIMO Radar Applications.\u003c\/p\u003e \u003cp\u003e9.4 Coherent MIMO Radar Applications.\u003c\/p\u003e \u003cp\u003e9.5 Chapter Summary.\u003c\/p\u003e \u003cp\u003eAppendix 9A Deriving the FIM.\u003c\/p\u003e \u003cp\u003eAppendix 9B Deriving the CRLB on the Location Estimate Error.\u003c\/p\u003e \u003cp\u003eAppendix 9C MLE of Time Delays — Error Statistics.\u003c\/p\u003e \u003cp\u003eAppendix 9D Deriving the Lowest GDOP for Special Cases.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 SpaceTime Coding for MIMO Radar\u003c\/b\u003e (Antonio De Maio and Marco Lops).\u003c\/p\u003e \u003cp\u003e10.1 Introduction.\u003c\/p\u003e \u003cp\u003e10.2 System Model.\u003c\/p\u003e \u003cp\u003e10.3 Detection In MIMO Radars.\u003c\/p\u003e \u003cp\u003e10.4 Spacetime Code Design.\u003c\/p\u003e \u003cp\u003e10.5 The Interplay Between STC and Detection Performance.\u003c\/p\u003e \u003cp\u003e10.6 Numerical Results.\u003c\/p\u003e \u003cp\u003e10.7 Adaptive Implementation.\u003c\/p\u003e \u003cp\u003e10.8 Conclusions.\u003c\/p\u003e \u003cp\u003eAcknowledgment.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eINDEX.\u003c\/p\u003e  \u003cb\u003eJian Li,\u003c\/b\u003e PhD, is Professor and Director of the Spectral Analysis Laboratory of the Department of Electrical and Computer Engineering at the University of Florida. She has coedited one book, coauthored one book and four book chapters, and published approximately 300 refereed technical conference contributions and journal papers, many of which are on topics related to array signal processing.  \u003cp\u003e\u003cb\u003ePetre Stoica,\u003c\/b\u003e PhD, is Professor of System Modeling in the Information Technology Department at Uppsala University, Sweden. He has coedited two books, coauthored nine books, and published approximately 500 refereed technical conference contributions and journal papers, many of which are on topics related to array signal processing.\u003c\/p\u003e  \u003cb\u003eThe first book to present a systematic and coherent picture of MIMO radars\u003c\/b\u003e  \u003cp\u003eDue 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.\u003c\/p\u003e \u003cp\u003eEdited 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eAdaptive MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eBeampattern analysis and optimization for MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMIMO radar for target detection, parameter estimation, tracking,association, and recognition\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMIMO radar prototypes and measurements\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eSpace-time codes for MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eStatistical MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eWaveform design for MIMO radar\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten 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.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47989628436709,"sku":"NP9780470178980","price":181.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470178980.jpg?v=1761784871","url":"https:\/\/k12savings.com\/products\/mimo-radar-signal-processing-isbn-9780470178980","provider":"K12savings","version":"1.0","type":"link"}