Abstract：Sparse microwave imaging requires nonlinear algorithm that is expensive for large scene imaging. Therefore, the sub-block imaging method is studied, in which the measured data and the relative imaging region is divided into sub-blocks, and then sparse microwave imaging algorithm based on 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. Compared to the overall reconstruction of the sparse scene, sub-block algorithm can control data amount involved in each reconstruction, so as to avoid the signal processor frequently accessing the disk, which will cost huge time. Indeed, 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 of that of the overall reconstruction. The result proved by simulation and real data processing supports the validity of our method.
作者简介: Xiang Yin (1981-), Male, Hubei, China; Ph.D. 2010 in the Institute of
Electronics, Chinese Academy of Sciences, Beijing, China; Post-doctor in
Institute of Electronics, Chinese Academy of Sciences; Current research
activities: compressive sensing, synthetic radar imaging and processing.
E-mail: xy_overlimit@sina.cn. Zhang Bing-chen(1973-), male. He received the B.S. degree in the University of Science and Technology of China (USTC), in 1996, and M.S. degree in the Institute of Electronic, Chinese Academy of Sciences (IECAS), in 1999. He is now the researcher of IECAS and his research interests include radar system and radar signal processing. E-mail: bczhang@mail.ie.ac.cn. Hong Wen, Scientist in Institute of Electronics, Chinese Academy of
Sciences. Ph.D. 1997 from Beijing University of Aeronautics and Astronautics
(BUAA), Beijing, China. M.Sc. 1993 from Northwestern Polytechnical
University, Xi’an, China. Current research activities: synthetic aperture radar imaging and its applications. E-mail: grad.mitl@mail.ie.ac.cn.
引用本文:
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（英文）[J]. 雷达学报, 2013, 2(3): 271-277.
Xiang Yin, Zhang Bing-chen, Hong Wen. Study on the Sparse Sub-block Microwave Imaging Based on Lasso(In English). JOURNAL OF RADARS, 2013, 2(3): 271-277.
