%0 Journal Article
%T Radar Target Recognition Based on Kernel Uncorrelated Discriminant Subspace of GSVD<br>基于GSVD的核不相关辨别子空间与雷达目标识别
%A Liu Hua-lin
%A Yang Wan-lin
%A <br>刘华林
%A 杨万麟
%J 电子与信息学报
%D 2009
%I 
%X A Kernel Uncorrelated Discriminant Subspace(KUDS) method based on Generalized Singular Value Decomposition(GSVD) for radar target recognition is proposed.The new method combines with the advantage of GSVD and kernel trick,which can effectively overcome the limitation of traditional linear methods in solving singular problem,but also improve the class separability further.In addition,a conclusion from Fisher's criterion that there exists no useful discriminative information in the null space of the range pro...
%K Radar target recognition
%K High Resolution Range Profile (HRRP)
%K Kernel Uncorrelated Discriminant Subspace (KUDS)
%K Generalized Singular Value Decomposition (GSVD)<br>雷达目标识别
%K 高分辨距离像
%K 核不相关辨别子空间
%K 广义奇异值分解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=EE1487ABFFBBC052FCD3DFFD19D293D0&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=94C357A881DFC066&sid=4814830A427BF9BC&eid=4759DE41370E2E7A&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=14