An Improved RFI Mitigation Approach for SAR Based on Low-Rank Sparse Decomposition: From the Perspective of Useful Signal Protection

As an open system, synthetic aperture radar (SAR) inevitably receives radio frequency interference (RFI) generated by electromagnetic equipment in the same band. The existence of RFI seriously affects SAR signal processing and image interpretation. In recent years, many algorithms models related to mitigation have been proposed. However, most that focus on effectively mitigating is insufficient protect useful signals. This article proposes a method with signal-protected capability. (1) kurtosis coefficient used detect pulse-by-pulse, echoes containing are stored matrix form. (2) preliminary extraction complete low-rank sparse decomposition echo RFI. (3) For secondary separation RFI, accurate position results located fuzzy C-means clustering; then, we separate remaining signals again reconstruct work. proposed can further while removing through Experimental based simulated measured data verify performance potential method.