Space-Time Adaptive Processing For Radar

Space-Time Adaptive Processing For Radar

by J. R. Guerci
     
 

ISBN-10: 1580533779

ISBN-13: 9781580533775

Pub. Date: 07/31/2003

Publisher: Artech House, Incorporated

Written for engineers familiar with radar, electromagnetics and signal processing, this book establishes basic first order space-time models for clutter and jamming, details important second order and higher effects, and introduces modern space-time adaptive processing (STAP) algorithms. Guerci (Defense Advanced Research Projects Agency) presents design examples that

Overview

Written for engineers familiar with radar, electromagnetics and signal processing, this book establishes basic first order space-time models for clutter and jamming, details important second order and higher effects, and introduces modern space-time adaptive processing (STAP) algorithms. Guerci (Defense Advanced Research Projects Agency) presents design examples that illustrate ways in which various reduced rank STAP methods can be combined to yield good signal-to- interference plus noise ratio (SINR) performance, but with reduced sample support and computational requirements, and extends QR factorization computing architectures to a covariance matrix taper. Annotation ©2003 Book News, Inc., Portland, OR

Product Details

ISBN-13:
9781580533775
Publisher:
Artech House, Incorporated
Publication date:
07/31/2003
Series:
Artech House Radar Library
Edition description:
New Edition
Pages:
208
Product dimensions:
6.14(w) x 9.21(h) x 0.50(d)

Table of Contents

Prefaceix
Referencesx
Acknowledgmentsxiii
Referencesxiv
1Introduction1
1.1The Need for Space-Time Adaptive Processing in Moving Target Indicator Radar1
1.2STAP for MTI Radar3
1.3Book Organization7
References10
2Adaptive Array Processing11
2.1Introduction11
2.2Optimum Spatial (Angle) Beamforming11
2.2.1Derivation of the Optimum Beamformer18
2.2.2Case I: Additive White Noise19
2.2.3Case II: Additive Colored Noise23
2.3Optimum Temporal (Doppler/Pulse) Processing29
2.4Adaptive 1-D Processing31
2.5Adaptivity in Nonstationary Environments39
2.6Summary42
References42
Appendix 2AULA Antenna Pattern Response44
Appendix 2BDerivation of the Maximum Likelihood Sample Covariance Matrix46
3Space-Time Adaptive Processing51
3.1Introduction51
3.2Need for Joint Space and Time Processing52
3.2.1Joint Clutter and Jamming Characteristics63
3.3Optimum Space-Time Processing for MTI Radar65
3.4STAP71
3.5Summary71
References72
4Other Important Factors Affecting STAP Performance75
4.1Introduction75
4.2Channel Mismatch77
4.2.1Angle-Independent Channel Mismatch78
4.2.2Angle-Dependent Channel Mismatch92
4.3Other Interference Subspace Leakage Effects95
4.4Antenna Array Misalignment99
4.5Nonlinear Arrays103
4.6Interference Nonstationarity and the Iceberg Effect103
4.7Summary106
References108
5STAP for Radar: Methods, Algorithms, and Performance111
5.1Introduction111
5.2Data-Independent Reduced-Rank STAP114
5.2.1Pre-Doppler (Signal-Independent) Reduced-Rank STAP: DPCA and Adaptive DPCA114
5.2.2Post-Doppler (Signal-Dependent) Reduced-Rank STAP122
5.2.3Other Rank-Reducing Linear Transformations125
5.3Data-Dependent Reduced-Rank STAP129
5.3.1Signal-Independent Methods130
5.3.2Signal-Dependent Methods136
5.3.3Comparison of Data-Dependent Rank-Reduction Methods147
5.4Structured-Covariance and Model-Based Methods149
5.4.1Covariance Matrix Tapers151
5.4.2Other Structured-Covariance Methods156
5.5Illustrative Design Examples158
5.5.1Signal-Independent Approach159
5.5.2Signal-Dependent Approach161
5.6Summary163
References165
6Other Topics169
6.1Introduction169
6.2Statistical Basis for STAP169
6.3STAP Implementation173
6.4Knowledge-Aided STAP178
6.5Summary179
References179
About the Author181
Index183

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