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雷达高分辨距离像目标识别研究进展

刘宏伟 杜兰 袁莉 保铮

刘宏伟, 杜兰, 袁莉, 保铮. 雷达高分辨距离像目标识别研究进展[J]. 电子与信息学报, 2005, 27(8): 1328-1334.
引用本文: 刘宏伟, 杜兰, 袁莉, 保铮. 雷达高分辨距离像目标识别研究进展[J]. 电子与信息学报, 2005, 27(8): 1328-1334.
Liu Hong-wei, Du Lan, Yuan Li, Bao Zheng. Progress in Radar Automatic Target Recognition Based on High Range Resolution Profile[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1328-1334.
Citation: Liu Hong-wei, Du Lan, Yuan Li, Bao Zheng. Progress in Radar Automatic Target Recognition Based on High Range Resolution Profile[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1328-1334.

雷达高分辨距离像目标识别研究进展

Progress in Radar Automatic Target Recognition Based on High Range Resolution Profile

  • 摘要: 雷达高分辨距离像(HRRP)包含了目标的结构信息,在雷达目标识别领域有良好的应用前景.该文详细讨论了基于HRRP的雷达自动目标识别的关键技术及研究现状,包括雷达HRRP的特性、预处理方法、特征提取方法及分类器设计方法等.最后讨论了雷达HRRP识别的研究方向.
  • Smith C R, Goggana P M. Radar target identification[J].IEEE Antennas and Propagation Magazine.1993, 35 (2):27-[2]Li H J, Yang S H. Using range profiles as features vectors to identify aerospace objects[J].IEEE Trans. on Antennas and Propagation.1993, 41 (3):261-[3]Williams R L, Gross D C, Westerkamp J J, et al.. 1D HRR data analysis and ATR assessment. SPIE Conferences on Algorithm for SAR Imagery, Orlando, Florida, 1998, 3370:588 - 596.[4]Shaw A K. Automatic target recognition using high-resolution data. AFRL Report, 1997.[5]Liao X, Bao Z. Circularly integrated bispectra: novel shift invariant feature for high-resolution radar target recognition[J].IEE Electronics Letters.1999, 34(19):1879-[6]Zhang X, Shi Y, Bao Z. A new feature vector using selected bispectra for signal classification with application in radar target recognition[J].IEEE Trans. on Signal Processing.2001, 49 (9):1875-[7]Li H J, Wang Y D, Wang L H. Matching score properties between range profile of high-resolution radar targets[J].IEEE Trans. on Antennas and propagation.1996, 44 (4):444-[8]Zyweck A, Bogner R E. Radar target classification of commercial aircraft. IEEE Trans. on AES, 1996, 32 (2): 598 - 606.[9]Mitchell R A. Robust high range resolution radar target identification using a statistic feature based classifier with feature level fusion. [Ph.D Dissertation], Dayton, University of Dayton,1997.[10]Jacobs S P. Automatic target recognition using high-resolution radar range profiles. [Ph.D Dissertation], Washington, Washington University, 1999.[11]Jacobs S P, Osollivan J A. Automatic target recognition using sequences of high resolution radar range-profiles. IEEE Trans. on AES, 2000, 36 (2): 364 - 380.[12]Mitchell R A, Westerkamp J J. Robust statistical feature based aircraft identification. IEEE Trans. on AES, 1999, 35 (3):1077- 1094.[13]Xing M, Bao Z, Pei B. The properties of high-resolution range profiles[J].Optical Engineering.2002, 41 (2):493-[14]Kim K T, Seo D K, Kim H T. Efficient radar target recognition using the Music algorithm and invariant features[J].IEEE Trans. on Antennas and Propagation.2002, 50 (3):325-[15]Hudson S, Psaltis D. Correlation filters for aircraft identification from radar range profiles. IEEE Trans. on AES, 1993, 29(11):741 - 748.[16]Potter L, Chiang D M. A GTD-based parametric model for radar scattering. IEEE Trans. on AP, 1995, 42(10): 1058 - 1067.[17]Shi Y, Zhang X. A Gabor atom network for signal classification with application in radar target recognition[J].IEEE Trans. on Signal Processing.2001, 49(12):2994-[18]Liao X, Runkle P, Carin L. Identification of ground targets from sequential high-range-resolution radar signatures. IEEE Trans. on AES, 2002, 38(4): 1230 - 1242.[19]Shao Y. Higher order spectra invariants for shape pattern recognition. [Ph. D Dissertation], Athens, Ohio University, 2000.[20]Zhao Q, Principle J C. Support vector machines for SAR automatic target recognition. IEEE Trans. on AES, 2001, 37(2):643 - 654.[21]Novak L M, Owirka G J, Weaver A L. Automatic target recognition using enhanced resolution SAR data. IEEE Trans. on AES, 1999, 35(1): 157 - 175.[22]Zwart J P, Heiden R, Gelsema S, et al.. Fast translation invariant classification of HRR range profiles in a zero phase representation[J].IEE Proc. Radar Sonar Navig.2003, 150(6):411-[23]Wu R, Gao Q, Liu J, et al.. ATR scheme based on 1-D HRR profiles[J].Electronics Letters.2002, 38(24):1586-[24]Shaw A, Bhatnagar V. Automatic target recognition using eign-templates[J].SPIE.1998, 3370:448-[25]Fukunaga K. Introduction to Statistical Pattern Recognition. San Diego: Academic Press, 1990:104 - 106.[26]Li J, Stoica P. Efficient mixed-spectrum estimation with application to feature extraction. IEEE Trans. on Signal Processing, 1996, 42(2): 281 - 295.[27]廖学军.基于高分辨距离像的雷达目标识别,[博士论文],西安:西安电子科技大学,1999.[28]Chandran V, Elgar S L. Pattern recognition using invariants defined from higher order spectra one-dimensional inputs[J].IEEE Trans. on Signal Processing.1993, 41(1):205-[29]Tugnait J K. Detection of non-Gaussian signals using integrated polyspeetrum[J].IEEE Trans. on Signal Processing.1994, 42(11):3137-[30]Gerry M J, Potter L C, Gupta I J, et al.. A parametric model for synthetic aperture radar measurements. IEEE Trans. on AP, 1999,47(7):1179 - 1188.[31]Carriere R, Moses R L. High resolution radar target modeling using a modified Prony estimator[J].IEEE Trans. on AP.1992,40(1):13-[32]Bharadwaj P, Runkle P, Carin L, et al.. Multiaspect classification of airborne targets via physics-based HMMs and matching pursuits. IEEE Trans. on AES, 2001, 37(2): 595 - 606.[33]Cristianini N, Shawe-Taylor J. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge:Cambridge University Press, 2000, Chapter 6.[34]Burges C J. A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery, 1998, 2(2):121 - 167.[35]Tipping M E. Sparse Bayesian learning and relevance vector machine[J].Journal of Machine Learning Research.2001, 1(3):211-[36]Williams R, Westerkamp J. Automatic target recognition of time critical moving targets using 1D high range resolution (HRR)radar. IEEE AES Magazine, 2000, 15(4): 37- 43.[37]王雪松.宽带极化信息处理研究.[博士论文],长沙:国防科学技术大学,1999.
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出版历程
  • 收稿日期:  2004-03-01
  • 修回日期:  2004-08-04
  • 刊出日期:  2005-08-19

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