Compressive Sensing Radar Imaging Based on Smoothed lO Norm

摘要：

Compressive sensing techniques have been shown to reduce the number of data samples beyond the Nyquist theorem, achieving perfect reconstruction of the original signal. In this paper, we propose a compressive sensing radar imaging arithmetic based on smoothed l0 norm. Simulation experiments conformed that the arithmetic has faster reconstruct speed and well reconstruct quality compare other arithmetic.

关键词： Signal Processing Rader Imaging Compressive Sensing Smootlred l0 Norm

作者: Xie Xiao-Chun

作者单位: School of Physics and Electronic Information, Gannan Normal University, Ganzhou, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 6-9

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）