Correction of wide-band interference signatures in real measured synthetic aperture radar data

Radio frequency interference is a major issue for synthetic aperture radar (SAR) imaging. Especially with the presence of wide band interference (WBI), the signal to interference and noise ratio of the measurements are greatly degraded, and thus makes it difficult to obtain high quality SAR image. In this paper, we analyzed the WBI signatures in a real measured data, and addressed the WBI mitigation problem by using the Eigensubspace filtering on the instantaneous spectra. Experimental results of the real measured data show that the proposed scheme is effective for suppressing the interference signal and for obtaining high-quality image.