Data Processing of Airborne FMCW SAR Sliding Spotlight

Abstract

The FMCW SAR is small and light, and its airborne platform is prone to movement mistakes induced by airflow variables. It is more sensitive to platform motion faults in millimeter-wave SAR. This paper investigates the properties of using the PGA algorithm to extract only the phase of the error after coarse inertial navigation compensation, and then using the PGA algorithm to extract the phase of the error several times, gradually reducing the amount of error in the data, and finally obtaining a well-focused sliding spotlight SAR image. The proposed motion compensation algorithm's effectiveness is confirmed by the measured data processing.