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MIMO Radar Signal Processing

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ISBN-10: 0470178981

ISBN-13: 9780470178980

Edition: 2009

Authors: Jian Li, Petre Stoica

List price: $181.95
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Description:

This is the first book to present a comprehensive and coherent picture of the emerging field of MIMO (multiple-input and multiple-output) radars. In nine chapters, a first-rate list of distinguished contributors cover: adaptive MIMO radar; beam pattern 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; and waveform design for MIMO radar.
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Book details

List price: $181.95
Copyright year: 2009
Publisher: John Wiley & Sons, Incorporated
Publication date: 10/20/2008
Binding: Hardcover
Pages: 472
Size: 6.46" wide x 9.37" long x 1.07" tall
Weight: 1.694
Language: English

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