High Resolution Radar Imaging based on Compressed Sensing and Adaptive Lp Norm Algorithm

摘要：

Radar imaging based compressive sensing (CS) is a potential way to obtain the high-resolution radar images without the constraint of Nyquist sampling rate. In this paper, we proposed a radar remote-sensing imaging approach based on compressive sensing and adaptive Lp norm algorithm. Some experiments are taken and the results indicate that an accurate reconstruction of high-resolution radar images are obtained, with fewer measurements than its counterparts, but resulting in lower normalized MSE(NMSE).

关键词： Compressive sensing Adaptive Lp Norm Algorithm Radar imaging.

作者: Wang Min

作者单位: National Key Lab of Radar Signal Processing, Xidian University, Xi’an,China, 710071

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 206-209

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）