PREFACE -- 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)

5.1 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

10.6 Numerical Results -- 10.7 Adaptive Implementation -- 10.8 Conclusions -- Acknowledgment -- References -- INDEX