Space/time/frequency methods in adaptive radar - New Jersey ...

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REFERENCES1. Leon Cohen. Time-frequency distributions- a review. Proceedings oƒ the IEEE,77(7):941-981, July 1989.2. Theo A. C. M. Classen and Wolfgang F. G. Mecklenbrauker. The wigner distribution- a tool for time-frequency signal analysis Part I: Continuous-timesignals. Philips Journal oƒ Research, 35(3):217-251, 1980.3. Boualem Boashash, Peter O'Shea, and Morgan J. Arnold. Algorithms for instantaneousfrequency estimation: A comparative study. In Franklin T. Luk,editor, Advanced Signal -Processing Algorithms, Architectures, and Implementations(1990) Vol 1848, pages 126-148. SPIE - The InternationalSociety for Optical Engineering, July 1990.4. Langford B. White. Estimation of the instantaneous frequency of a noisysignal. In Boualem Boashash, editor, Time-Frequency Signal Analysis,chapter 10, pages 233-249. Longman Cheshire, Melbourne, 1992.5. Brian C. Lovell and Robert C. Williamson. The statistical performance ofsome instantaneous frequency estimators. IEEE Transactions on SignalProcessing, 40(7):1708-1723, July 1992.6. Boualem Boashash. Estimating and interpreting the instantaneous frequency ofa signal-part 1: Fundamentals. Proceedings oƒ the IEEE, 80(4):520-538,April 1992.7. Fred J. Harris and Hana Abu Salem. Performance comparison of Wigner-Villebased techniques to standard fm-discriminators for estimating instantaneousfrequency of a rapidly slewing fm sinusoid in the presence ofnoise. In SPIE Vol 975 Advanced Algorithms and Architectures ƒor SignalProcessing III (1988), pages 232-244. SPIE- the International Society forOptical Engineering, August 1988.8. Sergio Barbarossa and Alfonso Farina. A novel procedure for detecting andfocusing moving objects with SAR based on the Wigner-Ville distribution.In IEEE International Radar Conƒerence, pages 44-50. IEEE, 1990.9. Pierfrancesco Lombardo. Estimation of target motion parameters from dualchannelsar echos via time-frequency analysis. In Proceedings of the1997 IEEE National Radar Conference, pages 13-18. NATRAD -97, IEEE,1997.10. Zhao Zhiqin, Zheng Weiqiang, Dai Shengli, and Huang Shunji. A new approachof wigner-ville distribution in moving targets parameters estimation ofsar. In CIE International Conference of Radar, pages 470-474. CICR-96,IEEE, 1996.113
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Copyright Warning & RestrictionsThe
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ABSTRACTSPACE/TIME/FREQUENCY METHOD
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SPACE/TIME/FREQUENCY METHODS IN ADA
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APPROVAL PAGESpace/Time/Frequency M
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ACKNOWLEDGMENTI would like to begin
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ChapterPage3.2.1 Non-Adaptive Beamf
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FigurePage2.22 Scalogram of a linea
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CHAPTER 1INTRODUCTIONVarious space,
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3the target. In this work we study
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5support consists of a population o
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7processing. This is explained by t
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92.1 An Overview of Synthetic Apert
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11Figure 2.2 SAR cross-range Dopple
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13Through the expression for the on
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15Illumination pattern onEarth's su
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17Figure 2.6 Time-frequency descrip
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19Figure 2.7 Computation of the sho
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21Figure 2.9 Spectrogram of a multi
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23where 9/ is the Hilbert transform
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Figure 2.11 Gabor Transform of a si
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272.3.3 Continuous Wavelet Transfor
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29Figure 2.13 Time-Frequency resolu
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Figure 2.14 Scalogram of a sine wav
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Figure 2.16 Regions of influence co
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Figure 2.17 WVD transform of a sine
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37Figure 2.18 Example of WVD cross
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39(a) Contour plot of the WVD of a
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41(a) Contour plot of the STFT of a
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43(a) Contour plot of the Gabor exp
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452.5 Time-Frequency Analysis in No
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47Consequently, when the slope S, i
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49where:Doppler phase shift due to
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51(a) Contour plotFigure 2.24 SAR i
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53(a) Contour plotFigure 2.26 SAR i
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55calculated in each case. In this
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57(a) Moving target with synthetic
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Figure 2.31 SAR with 2 moving targe
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61Figure 3.1 Space-time adaptive ar
Page 78 and 79: 63Figure 3.3 Airborne radar basic g
Page 80 and 81: subspace is formed using the remain
Page 82 and 83: 67where k is a gain constant and R
Page 84 and 85: 69The scalar beamformed noise estim
Page 86 and 87: 71are the desired signal, interfere
Page 88 and 89: CHAPTER 4REDUCED-RANK PROCESSINGThe
Page 90 and 91: 75Figure 4.2 Reduced-rank GSCThis m
Page 92 and 93: 77This relation establishes an equi
Page 94 and 95: 79The conditioned SNR is a random v
Page 96 and 97: 81The performance of the GSC proces
Page 98 and 99: 83For large interference eigenvalue
Page 100 and 101: 85the steering vector s, and the ve
Page 102 and 103: 87(a) CSNR vs Rank order for other
Page 104 and 105: 89Figure 5.4 CSNR vs Rank order for
Page 106 and 107: 91Figure 5.6 Theoretical and simula
Page 108 and 109: 93Figure 5.8 CSNR vs CNRThe signal
Page 110 and 111: 950.80.80.6 0.6~(5'0.4IC!J0.40.20.2
Page 112 and 113: 97the spatial domain. The target is
Page 114 and 115: 99(a) Training outside the target r
Page 116 and 117: 101(a) Training around the target r
Page 118 and 119: 103Figure 5.15 Angle scan with the
Page 120 and 121: CHAPTER 6CONCLUSIONSThis work has b
Page 122 and 123: 107also presented. The Sample Matri
Page 124 and 125: APPENDIX ADISCRETE COSINE TRANSFORM
Page 126 and 127: 111This matrix is formed using the
Page 130 and 131: 11523. Franz Hlawatsch and G. Faye
Page 132 and 133: 11750. Daniel F. Marshall. A two st
Page 134 and 135: INDEXanalytic signal, 21array imper
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