SAR Imaging of Multiple Ships Based on Compressed Sensing

摘要：

Recent theory of Compressed Sensing (CS) gives us a novel version that an unknown sparse signal can be exact recovery with overwhelming probability beyond Nyquist sampling constraints.In this paper,we adapt this idea and present a framework of high-resolution synthetic aperture radar (SAR) imaging with multiple ships.Under the framework,we convert the multiple ships imaging into a problem of sparse signal reconstruction with certain orthogonal basis,hence the sparse reconstruction of CS can be fulfilled and a theoretical upper bound of the cross-range resolution is presented.Real data results verify the effectiveness of the CS imaging framework.

关键词： synthetic aperture radar (SAR) Compressed Sensing multiple ships imaging sparse reconstruction.

作者: Yabo Liu Yinghui Quan Jun Li Long Zhang Mengdao Xing

作者单位: Key Laboratory for Radar Signal Processing,Xidian University,Xian,710071,P.R.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: 112-115

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）