A noise SAR sidelobe suppression algorithm based on stable realization of apodization filtering

Abstract

Investigated here is a novel approach to the sidelobe suppression for noise synthetic aperture radar (SAR). The suggested strategy is a stable realization of apodization filtering (SRAF) with detailed implementation. Base on SRAF, a specific algorithm for noise SAR sidelobe suppression is proposed combining with range-Doppler (RD) algorithm. It applies SRAF to range correlation and azimuth compression to control sidelobes. The mathematic representations are presented and experimentation is performed. This algorithm proved that it can depress the sidelobes effectively and keep the energy of the mainlobe. Besides, it is not sensitive to noise disturbance and can avoid obvious SNR degradation.