Sparse Reconstruction for Linear Array SAR 3-D Imaging Based on Bayesian Estimation

摘要：

This paper presents a sparse reconstruction approach for resolution enhancement and sidelobe reduced in LASAR 3-D imaging based on Bayesian maximum a posterior (MP) estimation. We show that LASAR imaging can be formulated as sparse recovery problem and that only small number of samples is needed. Numerical simulations demonstrate that the presented sparse Bayesian method outperforms the standard matched-filter method in LASAR imaging.

关键词： Linear array SAR 3-D imaging Bayesian estimation Resolution enhancement.

作者: Shun-Jun Wei Xiao-Ling Zhang Jun Shi

作者单位: Dept. of E.E, University of Electronic Science and Technology of China, Chengdu, 611731, China

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: 1522-1525

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）