A research on SAR autofocusing algorithms for compressive sensing technique

Compressive sensing (CS) theory, which is proposed in the recent years, has a significant effect on acquiring and transferring a super vast amount of data. The incoherent measurement in CS theory can solve the acquiring and transferring problem in high resolution synthetic aperture radar (SAR) imaging effectively. The application of the CS theory in SAR autofocusing will induce important changes in the field of the radar technique. In this paper,the CS theory is applied into the SAR autofocusing. The implementation of the autofocusing method based on the CS theory is analyzed, the algorithms are proposed, the improvement measure aiming at the sparse signal is discussed. At last, field data experiment is proceeded to validate the performance of the algorithms and to compare the merits.