Implementation and Analysis of Modified Subaperture Approach for Squint Mode Air-Borne SAR
斜视模式SAR的子孔径算法分析及实现

For processing the data of squint mode SAR, the modified subaperture approach based on classical real-time subaperture processing is presented in this paper. This new approach can improve the image quality obviously and make the auto-focus processing converge better. At the same time, a new clutterlock algorithm of proportion factor self-adaptive in image field is introduced, which can improve the converging speed and the precision of result. In this paper, the memory requirements in the real-time processing procedures are discussed carefully. Finally, the amount of computing is analyzed and compared with that of the R-D algorithm.