Radar Target Recognition Based on Kernel Uncorrelated Discriminant Subspace of GSVD
基于GSVD的核不相关辨别子空间与雷达目标识别

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...