An Efficient Image Formation Algorithm for Spaceborne Video SAR

Jian Liang, Running Zhang, Lixiang Ma, Zheng Lv, Ke Jiao, Dawei Wang, Zhiyun Tan

Abstract: To avoid unnecessary duplication of processing and meet the real-time requirement of video SAR. An image formation algorithm of spaceborne video SAR based on sub-aperture extended chirp scaling processing was proposed in this paper. Firstly the SAR raw data segmentation approach was presented to realize the SAR video frames continuous output. Then the raw data of a video frame was divided to several sub-apertures, after the extended CS processing in the sub-apertures, the frequency sub-bands of sub-apertures were combined to achieve the desired high azimuth resolution video SAR frames. This innovative image formation algorithm can avoid the duplication of processing, so as to improve computation efficiency. Finally, experiments on simulated data show that the proposed algorithm is effective.