%0 Journal Article
%T A Statistical Identification Method of Polarimetric High Resolution Rangeprofile<br>全极化高分辨雷达距离像统计识别方法
%A Feng De-jun
%A Wang Xue-song
%A Xiao Shun-ping
%A Wang Guo-yu
%A <br>冯德军
%A 王雪松
%A 肖顺平
%A 王国玉
%J 电子与信息学报
%D 2006
%I 
%X 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.
%K Polarimetric
%K Range profile
%K Radar target identification
%K Statistic<br>全极化
%K 一维距离像
%K 雷达目标识别
%K 统计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=53A89C4C571DF347&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=5A751AE9FA58A3FB&eid=68FF5306A8F9C315&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=17