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

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11750. Daniel F. Marshall. A two step adaptive interference nulling algorithm foruse with airborne sensor arrays. In Proceedings oƒ the Seventh SignalProcessing Workshop on Statistical and Array Processing, pages 301-304,Quebec City, Canada, April 1994.51. Murat 0. Berin. Analysis on calibration, robustness, detection of spacetimeadaptive radar using experimental data. Master's thesis, NewJersey Institute of Technology, Department of Electrical and ComputerEngineering, Newark, NJ, January 1996.52. Murat 0. Berin and A. M. Haimovich. Signal cancellation effects inadaptive radar mountaintop data-set. In IEEE International Conƒerenceon Acoustics, Speech, and Signal Processing 1996, pages 2614-2617.ACASSP-96, IEEE, 1996.53. B. D. VanVeen and R. A. Roberts. Partially adaptive beamformer design viaoutput power minimization. IEEE Transactions on Acoustics, Speech andSignal Processing, 35:1524-1532, November 1987.54. Y.I. Abramovich. Analysis of direct adaptive tuning method for interferencecompensation systems with auxiliary linear constraints. Journal oƒCommunications Technology and Electronics, 35:30-39, 1990. translatedfrom Russian.55. J. Scott Goldstein and Irving S. Reed. Theory of partially adaptive radar. IEEETransactions on Aerospace and Electronic Systems, in press.56. A. M. Haimovich. Asymptotic distribution of the conditional signal-to-noiseratio in an eigenanalysis-based adaptive array. IEEE Transactions onAerospace and Electronic Systems, 33(3):988-997, July 1997.57. I. P. Kirsteins and D. W. Tufts. Rapidly adaptive nulling of interference.In M. Bouvet and G. Bienvenu, editors, High Resolution Methods inUnderwater Acoustics, chapter 6, pages 220-249. Springer-Verlag, NewYork, 1991.58. G. W. Titi. An overview of the arpa mountaintop program. In 1994 AdaptiveAntenna Systems Symposium, pages 53-59, Melville, NY, November 1994.59. A.M. Haimovich and M. Benin. Eigenanalysis-based space-time adaptive radar:Performance analysis. IEEE Transactions on Aerospace and ElectronicSystems, 33:1170-1179, October 1997.60. H.C. Andrews. Multidimensional rotations in feature selection. IEEE Transactionson Computers, 20:1045-1051, September 1971.61. W.K. Pratt. Generalized wiener filtering computation techniques. IEEE Transactionson Computers, 21:636-641, July 1972.
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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
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63Figure 3.3 Airborne radar basic g
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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 128 and 129: REFERENCES1. Leon Cohen. Time-frequ
Page 130 and 131: 11523. Franz Hlawatsch and G. Faye
Page 134 and 135: INDEXanalytic signal, 21array imper
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