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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.

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