Wide‐band interference mitigation algorithm for SAR based on time‐varying filtering and sparse recovery

Wide‐band interference (WBI) can severely degrade synthetic aperture radar image quality. This Letter proposes a new WBI suppression technique using time‐varying filtering method and sparse recovery. In this method, a time‐varying filter is firstly set up in the short‐time Fourier transform domain as a pre‐processing step to suppress the major power of WBI, and then, an adaptive dictionary‐based sparse recovery algorithm is developed to recover the useful target echo loss resulting from time‐varying filtering. Finally, traditional SAR imaging algorithms can be performed to obtain a well‐focused image. Simulation results demonstrate the validity of the proposed method.