A Novel Method of SAR Imaging Based on Compressive Sensing

摘要：

This paper presents an new approach for SAR azimuth compression. By employing matched filtering to raw SAR data for range compression, fewer SAR data points are sampled along azimuth direction using compressive sensing (CS). The OMP algorithm is applied to reconstruct the SAR image with high probability. The simulation results show that sidelobes in SAR images are drastically diminished.

关键词： synthetic aperture radar compressive sensing orthogonal matching pursuit restricted isometry property

作者: Jianhu Gao Lvqian Zhang Lingling Xue

作者单位: School of Electronic and Information Engineering,Beihang University,Beijing 100191,China Shanghai Institute of Satellite Engineering Shanghai,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 118-121

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）