%0 Journal Article
%T A Frame Segmentation Method for Radar HRRPs Based on Correlation Coefficient<br>基于相关系数的雷达高分辨距离像分帧方法
%A Liu Jing
%A Zhang Jun-ying
%A Du Lan
%A <br>刘
%A 敬①
%A 张军英①②
%A 杜
%A 兰②
%J 电子与信息学报
%D 2008
%I 
%X Target-aspect sensitivity makes High Resolution Range Profiles (HRRP) become a long sequence with statistical characteristic changing continuously. A novel frame segmentation method based on correlation coefficient is presented according to the statistical characteristic changes of HRRP sequence. Experimental results for measured data show that the presented method can exactly divide the statistical characteristic changes of HRRPs and the resulting frames are coincident with flying trajectory. Template Matching Method (TMM) classifier in time domain, shortest distance classifier and Support Vector Machine (SVM) classifier in frequency domain are used to evaluate recognition performances. Comparing with the current uniform frame segmentation method based on scattering center model, the presented method efficiently improves the recognition rates.
%K Radar Automatic Target Recognition (RATR)
%K Correlation coefficient
%K Target-aspect sensitivity
%K High Resolution Range Profile (HRRP)<br>雷达自动目标识别
%K 相关系数
%K 方位敏感性
%K 高分辨距离像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=5C8A8E5EB96A0413977254B5D15E2D93&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=9CF7A0430CBB2DFD&sid=5F72C4E06FEFC1BD&eid=13AD3798DE81DFD6&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=15