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Volume 28 Issue 3
Sep.  2010
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Feng De-jun, Wang Xue-song, Xiao Shun-ping, Wang Guo-yu. A Statistical Identification Method of Polarimetric High Resolution Rangeprofile[J]. Journal of Electronics & Information Technology, 2006, 28(3): 517-521.
Citation: Feng De-jun, Wang Xue-song, Xiao Shun-ping, Wang Guo-yu. A Statistical Identification Method of Polarimetric High Resolution Rangeprofile[J]. Journal of Electronics & Information Technology, 2006, 28(3): 517-521.

A Statistical Identification Method of Polarimetric High Resolution Rangeprofile

  • Received Date: 2004-08-10
  • Rev Recd Date: 2004-12-20
  • Publish Date: 2006-03-19
  • For the polarimetric and high-resolution radar system, a novel method is proposed, where the polarization and high resolution range profile are integrated for radar target recognition. The physical-statistical non-Gaussian model is used to model for polarimetric high resolution range profile. The model parameters describe the scattering physical characteristics of radar target and are adopted as feature vector for radar target recognition. Furthermore, Parzen window is used to estimate the probability distribution function of model parameter and the classifier is designed via Bayes theorem. The method is applied to the classification of several kinds of missile. Numerical eresults have shown that the method can extract the features which are independent to target orientation and are effective to radar target recognition.
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  • Li H, Yang S H. Using rangeprofiles as feature vectors to identify aerospace objects. IEEE Trans. on AP, 1993, AP-41(3): 261268. .[2]姜卫东,庄钊文,陈曾平. 基于一维距离像的目标识别方法. 现代雷达,1992, 21(1): 1922. .[3]Rothwell E J, Nyquist D P, Chen K M.A radar target discrimination scheme using the discrete wavelet transform for reduced data storage. IEEE Trans. on AP, 1994,AP-42(7): 10331037. .[4]Hurst M P, Mittra R. Scattering center analysis via Pronys method. IEEE Trans. on AP, 1987, AP-35(8): 986988. .[5]Zyweck Anthony, Bogner Robert. Rader target classification of commercial aircraft. IEEE Trans. on AES, 1996, AES-32(2): 598606. .[6]Jacobs S P, Osullivan J A. Automatic target recognition using sequences of high resolution radar range-profiles. IEEE Trans. on AES, 2000, AES-36(2): 364.381.[7]Mitchell R A.[J].Westerkamp J J. Statistical feature based HRR radar classification. the RTO SCI Symposium on Non-cooperative Air Target Identification using Radar, Mannheim, Germany.1998,:-Webb Andrew R. Gamma mixture models for target recognition. the RTO SCI Symposium on Non-cooperative Air Target Identification using Radar, Mannheim, Germany, 1998: 20-1.20-10.[8]Zebker H A, Vanzyl J J. Imaging radar polarimetry: a review. Proc. IEEE, 1991, 79(1): 15831606. .[9]许小剑, 黄培康. 防空雷达中的目标识别技术. 系统工程与电子技术,1996,18(5): 4861.[10]Steedly W M, Moses R L. High resolution exponential modeling of fully polarized radar returns. IEEE Trans. on AES, 1991, AES-27(5): 459469.[11]Middleton David. Statistical-physical models of electromagnetic interference. IEEE Trans. on EMC, 1977, EMC-19(3):106.126.[12]Berry L A. Understanding Middletons canonical formula for class noise. IEEE Trans. on EMC, 1981, EMC-23(4): 337.344.[13]Zabin S M, Poor H V. Parameter estimation for Middleton class A interference processes. IEEE Trans. on Comm, 1989, COM-37 (10): 1042.1051.[14]Zabin S M, Poor H V. Efficient estimation of class A noise parameters via the EM algorithm, IEEE Trans. on Info. Theory,1991 37 (1): 60.72.[15]Zabin S M, Poor H V. Recursive algorithms for identification of impulsive noise channels[J].IEEE Trans. on Info. Theory.1990, 36(3):559-[16]Shirman Y D, Gorshkov S A, Leshchenko S P, et al.. Computer Simulation of Aerial Target Radar Scattering, Recognition, Detection, and Tracking. London: Aretch house, 2002: 127.179.
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