%0 Journal Article
%T RADAR TARGET RECOGNITION BASED ON GENERALIZED DISCRIMINANT ANALYSIS OF QR DECOMPOSITION<br>基于QR分解的广义辨别分析用于雷达目标识别
%A LIU Hua-Lin
%A YANG Wan-Lin
%A <br>刘华林
%A 杨万麟
%J 红外与毫米波学报
%D 2007
%I Science Press
%X A new generalized discriminant analysis(GDA) method based on QR decomposition was proposed,which would be used in radar target recognition with one-dimensional range profile.Different from the traditional approach of solving GDA by singular value decomposition(SVD),the new algorithm utilizes kernel modified Gram-Schmidt(KMGS) orthogonalization algorithm to extract the optimal transformation matrix directly,which can not only effectively hold the most discriminant information in the null space of within-class scatter matrix,but also make the solution more stable in numeric.Experiments on three measured airplains data show that the proposed method achieves better recognition performance than traditional GDA,while it has lower costs in computation partly,thereby,the real-time performance is improved.
%K radar target recognition
%K generalized discriminant analysis
%K kernel modified Gram-Schmidt orthogonalization
%K feature extraction
%K one-dimensional range profile<br>雷达目标识别
%K 广义辨别分析
%K 核修正格兰-施密特正交化
%K 特征提取
%K 一维距离像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=2F9BA8F42FD5EC80CC59D15E663EF8B2&yid=A732AF04DDA03BB3&vid=96C778EE049EE47D&iid=38B194292C032A66&sid=EF27C460877D3C9F&eid=3D9746C06EC12B45&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=10