Abstract：Minimum Total Variation Autofocus (MTVA) algorithm for SAR imaging is studied. Firstly, the relationship between total variation of SAR image and 2nd-order phase error is analyzed. The results show that total variation is a single peak function of 2nd-order phase error. Total variation reaches minimum when zero phase error. Then total variation norm is used as performance function. Golden selection method is adopted to get focused SAR image. Finally, experimental results show that MTVA algorithm has good performance and is better than Phase Gradient Autofocus (PGA) algorithm. Study of complexity shows that MTVA’s computation amount is nearly half of PGA’s.
甘荣兵; 王建国. 基于最小全变差的SAR图像自聚焦算法[J]. 电子与信息学报, 2007, 29(1): 12-14 .
Gan Rong-bing; Wang Jian-guo. Minimum Total Variation Autofocus Algorithm for SAR Imaging. , 2007, 29(1): 12-14 .
2007, Vol. 29 
