Time-frequency Transforms for Radar Imaging and Signal Analysis

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Artech House, 2002 - Technology & Engineering - 232 pages
Here's an innovative hands-on book on time-frequency transforms for radar imaging and signal analysis. It teaches you more efficient ways to extract dispersive scattering features; detect and extract weak signals in noise; form clear radar images; estimate parameters and perform motion compensation; detect and track moving targets in the synthetic aperture radar; and analyze vibration and rotation induced micro-Doppler. This unique resource introduces a new image formation algorithm based on time-frequency-transforms, showing its advantage over the more conventional Fourier-based image formation. Referenced with over 170 equations and 80 illustrations, the book presents new algorithms that help improve the result of radar imaging and signal processing. Moreover, the authors discuss future trends in time-frequency to analyze micro-Doppler, and provide you with a newly developed time-frequency approach to radar signal and image processing to help you solve problems associated with conventional approaches.
 

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Contents

Introduction
1
11 Electromagnetic BackScattering from Targets
6
12 Radar Signal and Noise
9
122 The SNR
11
13 Radar Ambiguity Function and Matched Filter
13
132 Matched Filter
17
133 Pulse Compression
19
14 Synthetic Aperture Radar Imaging
20
55 Radar Imaging of Multiple Targets
113
552 TimeFrequencyBased Phase Compensation for Multiple Targets
117
553 TimeFrequencyBased Image Formation for Radar Imaging of Multiple Targets
119
56 Summary
120
Motion Compensation in ISAR Imaging Using TimeFrequency Techniques
123
61 Motion Compensation Algorithms
124
62 TimeFrequencyBased Motion Compensation
126
621 Estimating Phase Using Adaptive TimeFrequency Projection
128

141 Range Profile
21
143 CrossRange Resolution
22
TimeFrequency Transforms
25
21 Linear TimeFrequency Transforms
26
211 The STFT
28
212 The CWT
32
213 Adaptive TimeFrequency Representation
33
22 Bilinear TimeFrequency Transforms
36
221 The WVD
37
222 Cohens Class
39
223 The TFDS
42
References
45
Detection and Extraction of Signal in Noise
47
31 Introduction
48
33 SNR Improvement in the TimeFrequency Domain
51
331 SNR Definition Suitable for Signal Detection and Extraction
54
332 SNR in the Joint TimeFrequency Domain
56
34 CFAR Detection in the Joint TimeFrequency Domain
57
35 Signal Extraction in the Joint TimeFrequency Domain
61
352 TimeFrequency Masking and Signal Extraction
62
References
63
TimeFrequency Analysis of Radar Range Profiles
65
41 Electromagnetic Phenomenology Embedded in BackScattered Data
66
42 TimeFrequency Representation of Range Profiles
70
43 Application of HighResolution TimeFrequency Techniques to Scattering Data
77
432 Use of the TFDS
79
433 Windowed Superresolution Algorithm
81
434 Adaptive Gaussian Representation
83
44 Extraction of Dispersive Scattering Features from Radar Imagery Using TimeFrequency Processing
85
References
89
TimeFrequencyBased Radar Image Formation
93
51 Radar Imaging of Moving Targets
94
52 Standard Motion Compensation and FourierBased Image Formation
102
53 TimeFrequencyBased Image Formation
104
54 Radar Imaging of Maneuvering Targets
107
542 Radar Imaging of Maneuvering Target Using TimeFrequency Based Image Formation
108
622 Motion Error Elimination
129
63 Motion Compensation Examples of Simulated and Measured Data
131
64 Presence of 3D Target Motion
135
References
144
SAR Imaging of Moving Targets
147
71 Radar Returns of Moving Targets
148
711 Range Curvature
149
712 Clutter Bandwidth
150
713 Analysis of Radar Returns from Moving Targets
152
72 The Effect of Target Motion on SAR Imaging
155
73 Detection and Imaging of Moving Targets
157
732 MultipleAntenna SAR
161
74 SAR Imaging of Moving Targets Using TimeFrequency Transforms
165
741 Estimation of Doppler Parameters Using TimeFrequency Transforms
166
742 TimeFrequencyBased SAR Image Formation for Detection of Moving Targets
168
References
170
TimeFrequency Analysis of MicroDoppler Phenomenon
173
81 VibrationInduced MicroDoppler
174
811 TimeFrequency Signature of a Vibrating Scatterer
177
812 An Example of MicroDoppler Signatures of Moving Targets
179
82 RotationInduced MicroDoppler
181
823 TimeDomain Signatures of RotationInduced Modulations
184
824 FrequencyDomain Signatures
188
825 TimeFrequency Signatures
190
References
192
Trends in TimeFrequency Transforms for Radar Applications
193
92 BackScattering Feature Extraction
194
93 Image Formation
195
95 Moving Target Detection
196
96 MicroDoppler Analysis
198
References
199
List of Acronyms
203
About the Authors
205
Index
207
Copyright

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About the author (2002)

Victor C. Chen received his Ph.D. and, M.S. Degree in Electrical Engineering from the Case Western Reserve University, Cleveland, OH. Mr. Chen, an electronic engineer in the Radar Division of the Naval Research Laboratory in Washington, DC, is a senior member of the IEEE, and a member of the SPIE.

Hao Ling earned his Ph.D. and M.S. in Electrical Engineering at the University of Illinois at Urbana-Champaign. Mr. Ling, professor in the department of electrical and computer engineering, University of Texas Austin, is an IEEE Fellow.

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