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双辨别子空间高分辨距离像雷达目标识别
引用本文:刘华林. 双辨别子空间高分辨距离像雷达目标识别[J]. 电波科学学报, 2009, 24(5)
作者姓名:刘华林
作者单位:中国兵器装备集团火控技术中心,四川,成都,611731
基金项目:国家自然科学基金资助项目 
摘    要:针对飞机目标的分类问题,提出了一种双辨别子空间高分辨距离像雷达目标识别方法.该方法首先依据Fisher准则导出距离像总散布矩阵的零空间中不含有辨别信息的结论,利用这一结论,对类间和类内散布矩阵进行预降维,降低了后续计算的复杂度.从全局的角度出发,基于类内散布矩阵零空间与非零空间所包含的辨别信息分别建立辨别子空间,实现对目标的特征提取.对ISAR实测飞机数据进行了分类,并与经典子空间方法进行比较,结果表明所提算法有效改善了目标识别性能.

关 键 词:雷达目标识别  高分辨距离像  双辨别子空间  特征提取

High resolution range profile radar target recognition based on double discriminant subspaces algorithm
LIU Hua-lin. High resolution range profile radar target recognition based on double discriminant subspaces algorithm[J]. Chinese Journal of Radio Science, 2009, 24(5)
Authors:LIU Hua-lin
Affiliation:LIU Hua-lin(Fire Control Technology Center of China South Industry Group Co.,Chengdu Sichuan 611731,China)
Abstract:A double discriminant subspaces(DDS)algorithm for high resolution range profile radar target recognition is proposed.Firstly,one conclusion that there exists no useful discriminative information in the null space of the population scatter matrix is derived through the Fisher's criterion,which can be used to reduce the dimensionality of the original between-and within-class scatter matrix as well as the computation complexity of the following operation.Then from global viewpoint,it carries out feature extrac...
Keywords:radar target recognition  high resolution range profile(HRRP)  double discriminant subspaces  feature extraction
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