Fast Compressive Sensing Radar Imaging Based on Smoothed l0 Norm

摘要：

Compressive sensing technique has been shown capable of reducing the number of data samples beyond the Nyquist theorem,and achieving perfect reconstruction of the original signal.Because of its compressed sampling ability,compressive sensing has been found many applications in imaging,remote sensing conversion and many other fields. Although several kinds of radar imaging arithmetic were proposed,but the reconstructed speed arithmetic are slow.In this paper,we propose a faster compressive sensing radar imaging arithmetic based on smoothed l0 norm.Simulation experiments conformed that the algorithm has faster reconstruct speed and well reconstruct quality compared with other algorithm.

关键词： Radar Imaging Compressive Sensing Smoothed l0 Norm

作者: Xie Xiaochun Zhang Yunhua

作者单位: Center for Space Science and Applied Research,Chinese Academy of Sciences,Beijing,China School of Ph Center for Space Science and Applied Research,Chinese Academy of Sciences,Beijing,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 443-446

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）