Resonance and aspect matched adaptive radar (RADAR)

The book describes a new form of radar for which the target response is frequency, i.e., resonance-dependent. The book provides both prototype designs and empirical results collected from a variety of targets. The new form of radar, called RAMAR (Resonance and Aspect Matched Adaptive Radar) advances radar -- mere ranging and detection -- to the level of RF spectroscopy, and permits an advance of spectroscopic methods from optical, through infra-red and into the RF spectral range. The book will describe how a target's response can be a function of frequency components in the transmitted signal's envelope as well as the signal's carrier.

Preface	p. v
Introduction	p. 1
1 A Priori and A Posteriori Information Captures	p. 9
2 LTI versus LTV Systems	p. 19
3 Signal Envelope Match vs Carrier Match	p. 26
4 Target Modeling and Identification by Coherence Functions	p. 27
5 The WH Transform & WHWFs	p. 35
6 Treatment of Nonstationary Signals	p. 41
7 Carrier Frequency-Envelope Frequency (CFEF) Spectra	p. 43
8 Polarization	p. 44
Part 1 Ka-Band MAP Prototype	p. 45
1.1 Ka-Band MAP System	p. 45
1.2 Targets Addressed by the Ka-Band System	p. 45
1.3 Mie (Resonance), Optical & Rayleigh Scattering	p. 45
1.4 Return Signal SNR Enhancement	p. 48
1.5 Corner Reflector Tests	p. 49
1.6 Exclusive & Inclusive Optimum Transmit Signal Design for Target Aspect Independent Recognition	p. 50
1.7 Vehicle Targets	p. 59
1.8 Model Targets	p. 61
1.9 Nonlinear Combination of Separate Subcomponent Target Minor Resonances	p. 62
1.10 Target Identification	p. 66
1.10.1 Singular value decomposition	p. 75
1.10.2 Independent component analysis	p. 75
1.10.3 Aspect independence	p. 76
1.11 Selective Enhancement of Target Major & Minor Resonances	p. 77
1.12 Target Surface Detection	p. 79
1.13 Nonlocal Transformations: Wigner-Ville Distribution & Ambiguity Function	p. 82
1.13.1 Wigner-Ville distribution	p. 89
1.13.2 Ambiguity Function	p. 96
1.14 Nonlocal Transformations: Hilbert-Huang Transform	p. 110
1.15 Nonlocal Transformations: Quadratic Fractional Fourier Transform	p. 126
1.16 Weber-Hermite Transforms: Local & Global	p. 142
1.17 Radon Transform	p. 157
1.18 Frequency Decomposition: Independent Component Analysis, Matching Pursuit, Complexity Pursuit, Blind Source Separation	p. 169
Part 2 UHF-Band MAP Prototype	p. 179
2.0.0 ITU MAP System	p. 179
2.1.0 Ground Tests Through Foliage	p. 181
2.1.1 Target: Barrels	p. 182
2.1.2 Target: Roof Panels	p. 182
2.1.3 Target: Microwave Oven	p. 182
2.1.4 Targets: Trucks	p. 182
2.1.5 Target: Artillery Shell	p. 192
2.2.0 Anechoic Chamber Tests	p. 196
2.2.1 Target: Barrel Aspect Up: PRX	p. 197
2.2.2 Target: Barrel Aspect Side: PRX	p. 198
2.2.3 Target: Generator: PRX	p. 198
2.2.4 Target: Microwave Oven: PRX	p. 199
2.2.5 Target: Roof Panel: PRX	p. 199
2.2.6 Target: Truck: PRX	p. 206
2.2.7 Multiple-Window Spectra	p. 207
2.2.8 Target Linear Frequency Response Functions	p. 212
2.2.9 Carrier Frequency-Envelope Frequency (CFEF) Spectra	p. 215
2.3.0 Flight Tests of FOPEN RAMAR	p. 221
2.3.1 Target Detection Under Foliage	p. 229
2.3.2 Comparisons of the Results of the Anechoic Chamber Tests and the Flight Tests	p. 236
2.4.0 Summary and System Improvements	p. 242
Appendix	p. 245
References	p. 261
Glossary	p. 271
Index	p. 273

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