Space-Time Adaptive Processing For Radar

by J. R. Guerci

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

	Preface	ix
	References	x
	Acknowledgments	xiii
	References	xiv
1	Introduction	1
1.1	The Need for Space-Time Adaptive Processing in Moving Target Indicator Radar	1
1.2	STAP for MTI Radar	3
1.3	Book Organization	7
	References	10
2	Adaptive Array Processing	11
2.1	Introduction	11
2.2	Optimum Spatial (Angle) Beamforming	11
2.2.1	Derivation of the Optimum Beamformer	18
2.2.2	Case I: Additive White Noise	19
2.2.3	Case II: Additive Colored Noise	23
2.3	Optimum Temporal (Doppler/Pulse) Processing	29
2.4	Adaptive 1-D Processing	31
2.5	Adaptivity in Nonstationary Environments	39
2.6	Summary	42
	References	42
Appendix 2A	ULA Antenna Pattern Response	44
Appendix 2B	Derivation of the Maximum Likelihood Sample Covariance Matrix	46
3	Space-Time Adaptive Processing	51
3.1	Introduction	51
3.2	Need for Joint Space and Time Processing	52
3.2.1	Joint Clutter and Jamming Characteristics	63
3.3	Optimum Space-Time Processing for MTI Radar	65
3.4	STAP	71
3.5	Summary	71
	References	72
4	Other Important Factors Affecting STAP Performance	75
4.1	Introduction	75
4.2	Channel Mismatch	77
4.2.1	Angle-Independent Channel Mismatch	78
4.2.2	Angle-Dependent Channel Mismatch	92
4.3	Other Interference Subspace Leakage Effects	95
4.4	Antenna Array Misalignment	99
4.5	Nonlinear Arrays	103
4.6	Interference Nonstationarity and the Iceberg Effect	103
4.7	Summary	106
	References	108
5	STAP for Radar: Methods, Algorithms, and Performance	111
5.1	Introduction	111
5.2	Data-Independent Reduced-Rank STAP	114
5.2.1	Pre-Doppler (Signal-Independent) Reduced-Rank STAP: DPCA and Adaptive DPCA	114
5.2.2	Post-Doppler (Signal-Dependent) Reduced-Rank STAP	122
5.2.3	Other Rank-Reducing Linear Transformations	125
5.3	Data-Dependent Reduced-Rank STAP	129
5.3.1	Signal-Independent Methods	130
5.3.2	Signal-Dependent Methods	136
5.3.3	Comparison of Data-Dependent Rank-Reduction Methods	147
5.4	Structured-Covariance and Model-Based Methods	149
5.4.1	Covariance Matrix Tapers	151
5.4.2	Other Structured-Covariance Methods	156
5.5	Illustrative Design Examples	158
5.5.1	Signal-Independent Approach	159
5.5.2	Signal-Dependent Approach	161
5.6	Summary	163
	References	165
6	Other Topics	169
6.1	Introduction	169
6.2	Statistical Basis for STAP	169
6.3	STAP Implementation	173
6.4	Knowledge-Aided STAP	178
6.5	Summary	179
	References	179
	About the Author	181
	Index	183