000 07698nam a2200793 i 4500
001 5236870
003 IEEE
005 20191218152113.0
006 m o d
007 cr |n|||||||||
008 080521t20152009njua ob 001 0 eng
020 _a9780470391488
_qelectronic
020 _z9780470178980
_qpaper
020 _z0470391480
_qelectronic
024 7 _a10.1002/9780470391488
_2doi
035 _a(CaBNVSL)mat05236870
035 _a(IDAMS)0b0000648109502c
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTK6575
_b.M54 2009eb
050 4 _aTK6575
_b.M56 2009eb
082 0 4 _a621.3848
_222
245 0 0 _aMIMO radar signal processing /
_cedited by Jian Li, Petre Stoica.
264 1 _aHoboken, New Jersey :
_bJ. Wiley & Sons,
_cc2009.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c2008.
300 _a1 PDF (xviii, 448 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references.
505 0 _aPREFACE -- CONTRIBUTORS -- 1 MIMO Radar - Diversity Means Superiority (Jian Li and Petre Stoica) -- 1.1 Introduction -- 1.2 Problem Formulation -- 1.3 Parameter Identifiability -- 1.4 Nonparametric Adaptive Techniques for Parameter Estimation -- 1.5 Parametric Techniques for Parameter Estimation -- 1.6 Transmit Beampattern Designs -- 1.7 Conclusions -- Appendix IA Generalized Likelihood Ratio Test -- Appendix 1B Lemma and Proof -- Acknowledgments -- References -- 2 MIMO Radar: Concepts, Performance Enhancements, and Applications (Keith W. Forsythe and Daniel W. Bliss) -- 2.1 Introduction -- 2.2 Notation -- 2.3 MIMO Radar Virtual Aperture -- 2.4 MIMO Radar in Clutter-Free Environments -- 2.5 Optimality of MIMO Radar for Detection -- 2.6 MIMO Radar with Moving Targets in Clutter: GMTI Radars -- 2.7 Summary -- Appendix 2A A Localization Principle -- Appendix 2B Bounds on R(N) -- Appendix 2C An Operator Norm Inequality -- Appendix 2D Negligible Terms -- Appendix 2E Bound on Eigenvalues -- Appendix 2F Some Inner Products -- Appendix 2G An Invariant Inner Product -- Appendix 2H Kroinecker and Tensor Products -- Acknowledgments -- References -- 3 Generalized MIMO Radar Ambiguity Functions (Geoffrey San Antonio, Daniel R. Fuhrmann, and Frank C. Robey) -- 3.1 Introduction -- 3.2 Background -- 3.3 MIMO Signal Model -- 3.4 MIMO Parametric Channel Model -- 3.5 MIMO Ambiguity Function -- 3.6 Results and Examples -- 3.7 Conclusion -- References -- 4 Performance Bounds and Techniques for Target Localization Using MIMO Radars (Joseph Tabrikian) -- 4.1 Introduction -- 4.2 Problem Formulation -- 4.3 Properties -- 4.4 Target Localization -- 4.5 Performance Lower Bound for Target Localization -- 4.6 Simulation Results -- 4.7 Discussion and Conclusions -- Appendix 4A Log-Likelihood Derivation -- Appendix 4B Transmit/Receive Pattern Derivation -- Appendix 4C Fisher Information Matrix Derivation -- References -- 5 Adaptive Signal Design For MIMO Radars (Benjamin Friedlander)
505 0 _a5.1 Introduction -- 5.2 Problem Formulation -- 5.3 Estimation -- 5.4 Detection -- 5.5 MIMO Radar and Phased Arrays -- Appendix 5A Theoretical SINR Calculation -- References -- 6 MIMO Radar Spacetime Adaptive Processing and Signal Design(Chun-Yang Chen and P. P. Vaidyanathan) -- 6.1 Introduction -- 6.2 The Virtual Array Concept -- 6.3 Spacetime Adaptive Processing in MIMO Radar -- 6.4 Clutter Subspace in MIMO Radar -- 6.5 New STAP Method for MIMO Radar -- 6.6 Numerical Examples -- 6.7 Signal Design of the STAP Radar System -- 6.8 Conclusions -- Acknowledgments -- References -- 7 Slow-Time MIMO SpaceTime Adaptive Processing(Vito F. Mecca, Dinesh Ramakrishnan, Frank C. Robey, and Jeffrey L. Krolik) -- 7.1 Introduction -- 7.2 SIMO Radar Modeling and Processing -- 7.3 Slow-Time MIMO Radar Modeling -- 7.4 Slow-Time MIMO Radar Processing -- 7.5 OTHr Propagation and Clutter Model -- 7.6 Simulations Examples -- 7.7 Conclusion -- Acknowledgment -- References -- 8 MIMO as a Distributed Radar System(H. D. Griffiths, C. J. Baker, P. F. Sammartino, and M. Rangaswamy) -- 8.1 Introduction -- 8.2 Systems -- 8.3 Performance -- 8.4 Conclusions -- Acknowledgment -- References -- 9 Concepts and Applications of A MIMO Radar System with Widely Separated Antennas(Hana Godrich, Alexander M. Haimovich, and Rick S. Blum) -- 9.1 Background -- 9.2 MIMO Radar Concept -- 9.3 NonCoherent MIMO Radar Applications -- 9.4 Coherent MIMO Radar Applications -- 9.5 Chapter Summary -- Appendix 9A Deriving the FIM -- Appendix 9B Deriving the CRLB on the Location Estimate Error -- Appendix 9C MLE of Time Delays -- Error Statistics -- Appendix 9D Deriving the Lowest GDOP for Special Cases -- Acknowledgments -- References -- 10 SpaceTime Coding for MIMO Radar(Antonio De Maio and Marco Lops) -- 10.1 Introduction -- 10.2 System Model -- 10.3 Detection In MIMO Radars -- 10.4 Spacetime Code Design -- 10.5 The Interplay Between STC and Detection Performance
505 0 _a10.6 Numerical Results -- 10.7 Adaptive Implementation -- 10.8 Conclusions -- Acknowledgment -- References -- INDEX
506 1 _aRestricted to subscribers or individual electronic text purchasers
520 _aThe 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
530 _aAlso available in print
538 _aMode of access: World Wide We
588 _aDescription based on PDF viewed 12/21/2015
650 0 _aRadar
655 0 _aElectronic books
695 _aArray signal processin
695 _aArrays
695 _aBaseband
695 _aClutter
695 _aDelay
695 _aDiversity reception
695 _aEncoding
695 _aIndexes
695 _aMIM
695 _aParameter estimation
695 _aRadar antennas
695 _aRadar cross section
695 _aRadar detection
695 _aRadar imaging
695 _aRadar tracking
695 _aReceivers
695 _aReceiving antenna
695 _aSections
695 _aSensors
695 _aSpaceborne radar
695 _aSpatial resolution
695 _aTransmitters
695 _aTransmitting antennas
700 1 _aStoica, Petre.
700 1 _aLi, Jian,
_cPh. D.,
_d1965
710 2 _aIEEE Xplore (Online Service),
_edistributor.
710 2 _aJohn Wiley & Sons
_epublisher.
776 0 _iPrint version:
_z978047017898
856 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5236870
999 _c41920
_d41920