2D Imaging Algorithm of Spacebome SAR Based on Compressive Sensing

摘要：

To reduce the data transmission load of spaceborne SAR, this paper proposes a 2D imaging scheme based on compressive sensing (CS). First the sparse characteristics of spaceborne SAR echoes are analyzed, and then the echoes sparse model and the targets restore matrix are established. The minimum l1 norm algorithm is used to reconstruct the compressed data in distance and azimuth dimensions, and at last the low-load, high-resolution image is got. The simulation results prove the validity of the algorithm.

关键词： SAR 2D-Radar imaging Compnssive Sensing (CS)

作者: Jian Zhang Lidong Zhu Yantao Guo Xiaogang Gou

作者单位: National Key Laboratory of Science and Technology on Communications, UESTC, Chengdu, 611731 Science and Technology on Information Transmission and Dissemination in Communication Networks Labor

会议类型: 国际会议

会议名称: 2012 5th Global Symposium on Millimeter-Waves(2012年第五届全球毫米波会议 GSMM 2012)

会议地点: 哈尔滨

会议语种:英文

页码: 600-603

在线出版日期: 2012-05-27（万方平台首次上网日期，不代表论文的发表时间）