Moving target location of VSAR based on maximum likelihood method

摘要：

Based on the pixel vector sampled among multi-images, VSAR may effectively suppress the strong ground clutter and realize the moving target detection and locating. In this paper, the Cramer–Rao bounds (CRBs) are derived for the estimation of a proposed VSAR model parameters, as well as the azimuth locations of moving targets, and the maximum likelihood (ML) methods are further proposed to reach these CRBs. Finally, some detailed numerical experiments are also provided to show the effectiveness of the proposed methods.

关键词： VSAR parameter estimation Cramer-Rao bounds maximum likelihood methods

作者: Jia Xu Gang Li Ying-Ning Peng Xiang-Gen Xia Yong-liang Wang

作者单位: Department of Electronic Engineering,Tsinghua University,Beijing 100084,China;Radar Academy of Airfo Department of Electronic Engineering,Tsinghua University,Beijing 100084,China Department of Electrical and Computer Engineering,University of Delaware,Newark,DE 19716,USA Radar Academy of Airforce,Wuhan 430010,China

会议类型: 国际会议

会议名称: 首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)

会议地点: 安徽黄山

会议语种:英文

在线出版日期: 2007-11-05（万方平台首次上网日期，不代表论文的发表时间）