SAR Autofocus Algorithm of iterative error compensation based on PGA

Abstract This paper proposes a motion compensation algorithm based on PGA. Our first uses the PGA to estimate roughly phase error of SAR data, which is then exploited through several iterations compensate for and range migration caused by obtain focused image. A single iteration not only improves image quality, but also accuracy in next iteration. The simulation measured data show that can effectively with fast convergence speed, good focusing effect high accuracy.