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Preface | |
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Contributors | |
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Mimo Radar - Diversity Means Superiority | |
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Introduction | |
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Problem Formulation | |
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Parameter Identifiability | |
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Preliminary Analysis | |
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Sufficient and Necessary Conditions | |
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Numerical Examples | |
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Nonparametric Adaptive Techniques for Parameter Estimation | |
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Absence of Array Calibration Errors | |
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Presence of Array Calibration Errors | |
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Numerical Examples | |
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Parametric Techniques for Parameter Estimation | |
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ML and BIC | |
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Numerical Examples | |
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Transmit Beampattern Designs | |
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Beampattern Matching Design | |
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Minimum Sidelobe Beampattern Design | |
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Phased-Array Beampattern Design | |
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Numerical Examples | |
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Application to Ultrasound Hyperthermia Treatment of Breast Cancer | |
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Conclusions | |
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Generalized Likelihood Ratio Test | |
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Lemma and Proof | |
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Acknowledgments | |
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References | |
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MIMO Radar: Concepts, Performance Enhancements, and Applications | |
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Introduction | |
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A Short History of Radar | |
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Definition and Characteristics of MIMO Radar | |
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Uses of MIMO Radar | |
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The Current State of MIMO Radar Research | |
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Chapter Outline | |
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Notation | |
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MIMO Radar Virtual Aperture | |
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MIMO Channel | |
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MIMO Virtual Array: Resolution and Sidelobes | |
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MIMO Radar in Clutter-Free Environments | |
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Limitations of Cramer-Rao Estimation Bounds | |
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Signal Model | |
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Fisher Information Matrix | |
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Waveform Correlation Optimization | |
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Examples | |
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Optimality of MIMO Radar for Detection | |
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Detection | |
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High SNR | |
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Weak-Signal Regime | |
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Optimal Beamforming without Search | |
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Nonfading Targets | |
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Some Additional Benefits of MIMO Radar | |
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MIMO Radar with Moving Targets in Clutter: GMTI Radars | |
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Signal Model | |
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Localization and Adapted SNR | |
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Inner Products and Beamwidths | |
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SNR Loss | |
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SNR Loss and Waveform Optimization | |
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Area Search Rates | |
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Some Examples | |
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Summary | |
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A Localization Principle | |
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Bounds on R(N) | |
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An Operator Norm Inequality | |
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Negligible Terms | |
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Bound on Eigenvalues | |
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Some Inner Products | |
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An Invariant Inner Product | |
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Kronecker and Tensor Products | |
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Lexicographical Ordering | |
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Tensor and Kronecker Products | |
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Properties | |
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Acknowledgments | |
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References | |
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Generalized MIMO Radar Ambiguity Functions | |
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Introduction | |
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Background | |
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MIMO Signal Model | |
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MIMO Parametric Channel Model | |
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Transmit Signal Model | |
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Channel and Target Models | |
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Received Signal Parametric Model | |
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MIMO Ambiguity Function | |
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MIMO Ambiguity Function Composition | |
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Cross-Correlation Function under Model Simplifications | |
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Autocorrelation Function and Transmit Beampatterns | |
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Results and Examples | |
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Orthogonal Signals | |
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Coherent Signals | |
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Conclusion | |
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References | |
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Performance Bounds and Techniques for Target Localization Using MIMO Radars | |
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Introduction | |
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Problem Formulation | |
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Properties | |
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Virtual Aperture Extension | |
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Spatial Coverage and Probability of Exposure | |
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Beampattern Improvement | |
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Target Localization | |
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Maximum-Likelihood Estimation | |
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Transmission Diversity Smoothing | |
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Performance Lower Bound for Target Localization | |
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Cramer-Rao Bound | |
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The Barankin Bound | |
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Simulation Results | |
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Discussion and Conclusions | |
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Log-Likelihood Derivation | |
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General Model | |
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Single Range-Doppler with No Interference | |
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Transmit-Receive Pattern Derivation | |
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Fisher Information Matrix Derivation | |
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References | |
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Adaptive Signal Design For MIMO Radars | |
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Introduction | |
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Problem Formulation | |
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Signal Model with Reduced Number of Range Cells | |
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Multipulse and Doppler Effects | |
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The Complete Model | |
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The Statistical Model | |
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Estimation | |
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Beamforming Solution | |
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Least-Squares Solutions | |
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Waveform Design for Estimation | |
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Detection | |
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The Optimal Detector | |
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The SINR | |
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Optimal Waveform Design | |
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Suboptimal Waveform Design | |
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Constrained Design | |
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The Target and Clutter Models | |
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Numerical Examples | |
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MIMO Radar and Phased Arrays | |
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Scan Transmit Beam after Receive | |
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Adaptation of Transmit Beampattern | |
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Combined Transmit-Receive Beamforming | |
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Theoretical SINR Calculation | |
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References | |
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MIMO Radar Spacetime Adaptive Processing and Signal Design | |
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Introduction | |
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Notations | |
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The Virtual Array Concept | |
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Spacetime Adaptive Processing in MIMO Radar | |
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Signal Model | |
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Fully Adaptive MIMO-STAP | |
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Comparison with SIMO System | |
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The Virtual Array in STAP | |
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Clutter Subspace in MIMO Radar | |
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Clutter Rank in MIMO Radar: MIMO Extension of Brennan's Rule | |
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Data-Independent Estimation of the Clutter Subspace with PSWF | |
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New STAP Method for MIMO Radar | |
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The Proposed Method | |
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Complexity of the New Method | |
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Estimation of the Covariance Matrices | |
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Zero-Forcing Method | |
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Comparison with Other Methods | |
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Numerical Examples | |
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Signal Design of the STAP Radar System | |
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MIMO Radar Ambiguity Function | |
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Some Properties of the MIMO Ambiguity Function | |
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The MIMO Ambiguity Function of Periodic Pulse Radar Signals | |
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Frequency-Multiplexed LFM Signals | |
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Frequency-Hopping Signals | |
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Conclusions | |
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Acknowledgments | |
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References | |
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Slow-Time MIMO SpaceTime Adaptive Processing | |
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Introduction | |
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MIMO Radar and Spatial Diversity | |
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MIMO and Target Fading | |
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MIMO and Processing Gain | |
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SIMO Radar Modeling and Processing | |
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Generalized Transmitted Radar Waveform | |
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SIMO Target Model | |
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SIMO Covariance Models | |
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SIMO Radar Processing | |
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Slow-Time MIMO Radar Modeling | |
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Slow-Time MIMO Target Model | |
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Slow-Time MIMO Covariance Model | |
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Slow-Time MIMO Radar Processing | |
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Slow-Time MIMO Beampattern and VSWR | |
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Subarray Slow-Time MIMO | |
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SIMO versus Slow-Time MIMO Design Comparisons | |
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MIMO Radar Estimation of Transmit-Receive Directionality Spectrum | |
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OTHr Propagation and Clutter Model | |
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Simulations Examples | |
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Postreceive/Transmit Beamforming | |
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SINR Performance | |
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Transmit-Receive Spectrum | |
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Conclusion | |
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Acknowledgment | |
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References | |
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MIMO as a Distributed Radar System | |
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Introduction | |
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Systems | |
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Signal Model | |
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Spatial MIMO System | |
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Netted Radar Systems | |
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Decentralized Radar Network (DRN) | |
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Performance | |
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False-Alarm Rate (FAR) | |
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Probability of Detection (P[subscript d]) | |
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Jamming Tolerance | |
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Coverage | |
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Conclusions | |
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Acknowledgment | |
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References | |
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Concepts and Applications of A MIMO Radar System with Widely Separated Antennas | |
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Background | |
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MIMO Radar Concept | |
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Signal Model | |
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Spatial Decorrelation | |
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Other Multiple Antenna Radars | |
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NonCoherent MIMO Radar Applications | |
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Diversity Gain | |
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Moving-Target Detection | |
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Coherent MIMO Radar Applications | |
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Ambiguity Function | |
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CRLB | |
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MLE Target Localization | |
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BLUE Target Localization | |
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GDOP | |
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Discussion | |
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Chapter Summary | |
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Deriving the FIM | |
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Deriving the CRLB on the Location Estimate Error | |
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MLE of Time Delays - Error Statistics | |
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Deriving the Lowest GDOP for Special Cases | |
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Special Case: N x N MIMO | |
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Special Case: 1 x N MIMO | |
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General Case: M x N MIMO | |
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Acknowledgments | |
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References | |
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SpaceTime Coding for MIMO Radar | |
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Introduction | |
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System Model | |
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Detection In MIMO Radars | |
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Full-Rank Code Matrix | |
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Rank 1 Code Matrix | |
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Spacetime Code Design | |
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Chernoff-Bound-Based (CBB) Code Construction | |
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SCR-Based Code Construction | |
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Mutual-Information-Based (MIB) Code Construction | |
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The Interplay Between STC and Detection Performance | |
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Numerical Results | |
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Adaptive Implementation | |
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Conclusions | |
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Acknowledgment | |
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References | |
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Index | |