Compressive Sensing MIMO Radar Imaging Based on Inverse Scattering Model

摘要：

From the view of inverse scattering imaging, the paper gives basic principle of MIMO radar imaging, then applies compressive sensing (CS) to two methods. The first method is sampling and receiving echoes randomly in both frequencies and channels. The second method is sampling echoes randomly only in frequencies, and controllable space intersection is done in channels to increase the practicability. Both methods can achieve high image resolution using few echo samples. The first method has better imaging quality, but the second method is more controllable. Ulteriorly, the simulation gives detailed analysis of imaging quality and reconstruction successful probability, which is beneficial to applications of CS to MIMO radar imaging.

关键词： MIMO radar imaging compressive sensing

作者: Xu Hao He Xuezhi Yin zhiping Wang dongjin Chen Weidong

作者单位: EEIS, University of Science and Technology of China, HeFei, Anhui, 230027, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1999-2002

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）