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| A Statistical Identification Method of Polarimetric High Resolution Rangeprofile |
| Feng De-jun; Wang Xue-song; Xiao Shun-ping; Wang Guo-yu |
| The Electron Sci. and Eng. Inst., Nat. Univ. of Defense Technology, Changsha 410073, China |
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Abstract 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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Received: 10 August 2004
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2006, Vol. 28 
