Research on High Resolution Wide Swath Scan SAR Imaging Algorithm Based on Compressive Sensing

High azimuth resolution and wide swath pose contradicting requirements on system design of synthesis aperture radar (SAR). In order to obtain high resolution and wide swath ground images, a possible solution based on Scan mode and compressive sensing theory is proposed in this paper. The Scan SAR mode can get wide swath, while the azimuth resolution of the sub-swath is low because of the incomplete azimuth illumination. The main processing steps of the proposed method include: the sub-swath data is zero padded firstly followed by the range compression and range cell migration correction; new data matrix is obtained by random selecting the effective azimuth rows; according to the random selection index set, a reasonable reconstruction matrix is built, which is used to reconstruct the targets’ azimuth positions information with ROMP algorithm; the combination of the sub-swath images provides the high resolution and wide swath ground image. The simulations verify the validity of the proposed method.