雷达学报Issue(3)：271-277,7.DOI:10.3724/SP.J.1300.2013.13011
基于Lasso的稀疏微波成像分块成像原理与方法研究
Study on the Sparse Sub-block Microwave Imaging Based on Lasso
摘要
Abstract
Sparse microwave imaging requires a nonlinear algorithm that is expensive for large scene imaging. Therefore, the sub-block imaging method, in which the measured data and the relative imaging region are divided into sub-blocks, is studied. Then, a sparse microwave imaging algorithm based on the Least absolute shrinkage and selection operator (Lasso) is performed on each sub-block. Finally, the sub-blocks are combined to obtain the whole image of the large scene. When compared with the overall reconstruction of the sparse scene, the sub-block algorithm can control the amount of data involved in each reconstruction, thereby avoiding frequent accessing of the disk by the signal processor, which is time consuming. Further, the theoretical analysis illustrates that the sub-block sparse imaging method is also accurate and stable, and the associated reconstruction error is no more than two times that of the overall reconstruction. The simulation and real data processing results support the validity of our method.关键词
微波成像/稀疏信号处理/稀疏微波成像/Lasso/分块成像Key words
Microwave imaging/Sparse signal processing/Sparse microwave imaging/Least absolute shrinkage and selection operator (Lasso)/Sub-block imaging分类
信息技术与安全科学引用本文复制引用
向寅,张冰尘,洪文..基于Lasso的稀疏微波成像分块成像原理与方法研究[J].雷达学报,2013,(3):271-277,7.基金项目
Supported by the National Research Program of China (No.2010CB731905) （No.2010CB731905）
