雷达学报Issue(2)：218-225,8.DOI:10.3724/SP.J.1300.2013.20068
基于小波包算法的压缩传感SAR成像方法
A Compressive Sensing SAR Imaging Approach Based on Wavelet Package Algorithm
摘要
Abstract
Compressive sensing SAR imaging can significantly reduce the sampling rate and the amount of data required, but it is essential only in the case where the reflection coefficients of a SAR scene are sparse. This paper proposes a compressive sensing SAR imaging method based on wavelet packet sparse representation. The wavelet packet algorithm is used to choose the most sparse representation of the SAR scene by training the same type of SAR images. By solving for the minimum 1l norm optimization, the SAR scene reflection coefficients can be reconstructed. Unambiguous SAR images can be produced with the proposed method, even with fewer samples. SAR data simulation experiments demonstrate the efficiency of the proposed method.关键词
压缩传感/SAR成像/小波包/稀疏表示/稀疏度Key words
Compressive sensing/SAR imaging/Wavelet packet/Sparse representation/Sparsity分类
信息技术与安全科学引用本文复制引用
时燕,陈迪荣..基于小波包算法的压缩传感SAR成像方法[J].雷达学报,2013,(2):218-225,8.基金项目
国家自然科学基金(11171014)和国家973计划项目(2010CB731900)资助课题 （11171014）
