雷达科学与技术2011，Vol.9Issue(2)：130-134,5.
基于子空间模型的高分辨距离像分帧方法
A Frame Segmentation Method for Radar HRRPs Based on Subspaee Model
摘要
Abstract
Principle component analysis and probabilistic principle component analysis models have been successfully used for radar HRRP target recognition.Traditional statistical modeling approaches segmented continuous radar HRRPs into several frames by equal interval partition method.A frame segmentation method based on subspace model is presented in this paper.Firstly, radar HRRPs are segmented into some subframes.Then the subspace angle and mean Euclidian distance between adjacent subframes are computed as a merging measurement.Finally, the adjacent subframes which have the minimum measurement are merged iteratively to finish the frame segmentation.The experiments based on the measured data obtain fewer frame numbers and higher recognition accuracy.关键词
高分辨距离像/主分量分析子空间模型/概率主分量分析模型/子空间夹角/欧式距离Key words
high resolution range profile(HRRP)/ principle component analysis model/ probabilistic principle component analysis model/ subspace angle/ Euclidean distance分类
信息技术与安全科学引用本文复制引用
张奔,王鹏辉,杜兰,刘宏伟,张学峰..基于子空间模型的高分辨距离像分帧方法[J].雷达科学与技术,2011,9(2):130-134,5.基金项目
国家自然科学基金(No.60772140,60901067) （No.60772140,60901067）
