西安电子科技大学学报（自然科学版）2011，Vol.38Issue(6)：22-29,8.DOI:10.3969/j.issn.1001-2400.2011.06.004
雷达高分辨距离像分帧新方法
New frame segmentation method for radar HRRPs
摘要
Abstract
To deal with the target-aspect sensitivity of radar High Resolution Range Profiles (HRRP), a novel frame segmentation method is proposed. Firstly, the statistical characteristic of HRRPs' frequency spectrum amplitudes is analyzed and assumed to be joint Gaussian distribution. Then Probabilistic Principle Component Analysis (PPCA) is employed to model each sub-frame and the Expectation Maximization (EM) algorithm is adopted to estimate the model parameters. Finally, the adjacent sub-frames which have the minimum Kullback-Leibler ( KL) distance are merged iteratively to finish the frame segmentation. Both segmentation results and recognition performance of measured data verify the effectiveness of this method.关键词
雷达目标识别/高分辨距离像/目标姿态敏感性/概率主分量分析/Kullback-Leibler距离Key words
radar target recognition/ high resolution range profile ( HRRP)/ target-aspect sensitivity/probabilistic principle component analysis( PPCA)/ Kullback-Leibler distance分类
信息技术与安全科学引用本文复制引用
王鹏辉,杜兰,刘宏伟,李彦兵,吴兆平..雷达高分辨距离像分帧新方法[J].西安电子科技大学学报（自然科学版）,2011,38(6):22-29,8.基金项目
国家自然科学基金资助项目(60901067,61001212) （60901067,61001212）
新世纪优秀人才支持计划资助项目(NCET-09-0630) （NCET-09-0630）
长江学者和创新团队发展计划资助项目(IRT0954) （IRT0954）
国家部委预研基金和中央高校基本科研业务费专项基金联合资助项目 （）
