Space-time Adaptive Processing for Radar

Front Cover
Artech House, 2003 - Science - 189 pages
Whether you are a radar engineer looking to apply effective STAP(space-time adaptive processing) techniques to your system, or a non-radar specialist interested in important applications of multichannel adaptive filtering, this practical resource, based on a time-tested course taught in industry, government and academia, is essential reading. The book introduces you to basic STAP concepts and methods, placing emphasis on implementation in real-world systems.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Selected pages

Contents

Introduction 11 The Need for SpaceTime Adaptive Processing in Moving Target Indicator Radar
1
12 STAP for MTI Radar
3
13 Book Organization
7
References
10
Adaptive Array Processing
11
221 Derivation of the Optimum Beamformer
18
Additive White Noise
19
Additive Colored Noise
23
47 Summary
106
References
108
STAP for Radar Methods Algorithms and Performance 51 Introduction
111
52 DataIndependent ReducedRank STAP
114
522 PostDoppler SignalDependent ReducedRank STAP
122
523 Other RankReducing Linear Transformations
125
53 DataDependent ReducedRank STAP
129
531 SignalIndependent Methods
130

23 Optimum Temporal DopplerPulse Processing
29
24 Adaptive 1D Processing
31
25 Adaptivity in Nonstationary Environments
39
26 Summary
42
ULA Antenna Pattern Response
44
Derivation of the Maximum Likelihood Sample Covariance Matrix
46
SpaceTime Adaptive Processing
51
32 Need for Joint Space and Time Processing
52
321 Joint Clutter and Jamming Characteristics
63
33 Optimum SpaceTime Processing for MTI Radar
65
34 STAR
71
References
72
Other Important Factors Affecting STAP Performance
75
421 AngleIndependent Channel Mismatch
78
422 AngleDependent Channel Mismatch
92
43 Other Interference Subspace Leakage Effects
95
44 Antenna Array Misalignment
99
45 Nonlinear Arrays
103
532 SignalDependent Methods
136
533 Comparison of DataDependent RankReduction Methods
147
54 StructuredCovariance and ModelBased Methods
149
541 Covariance Matrix Tapers
151
542 Other StructuredCovariance Methods
156
55 Illustrative Design Examples
158
551 SignalIndependent Approach
159
552 SignalDependent Approach
161
56 Summary
163
References
165
Other Topics 61 Introduction
169
63 STAP Implementation
173
64 KnowledgeAided STAP
178
65 Summary
179
About the Author
181
Index
183
Copyright

Other editions - View all

Common terms and phrases

About the author (2003)

J. R. Guerci earned his Ph.D. in system engineering at the Polytechnic University, New York. Dr. Guerci is deputy director, special projects office for The Defense Advanced Research Projects Agency (DARPA). A Senior Member of the IEEE and a Member of the IEEE Radar Systems Panel.

Bibliographic information