Radio Frequency Interference Mitigation Method for Synthetic Aperture Radar Using Joint Low Rank and Sparsity Property

Radio frequency interference (RFI) is a severe issue for synthetic aperture radar (SAR), which is unavoidable for complex electromagnetic environment and the large imaging band. The presence of RFI would reduce the signal-to-noise ratio (SNR) and influence the image interpretation. This paper proposes a RFI mitigation method joint the low rank and double sparsity (LRDS-IM) characteristics in time-frequency (TF) domain. On the basis of TF analysis, we introduce the low rank and sparse characteristics to establish a precise RFI reconstruction model. In virtue of the alternate direction iteration strategy, we can separate the SAR echo into the RFI matrix and target signal matrix. Meanwhile, the well-focused SAR image is obtained cooperating with the state-of-the-art imaging algorithm. Finally, the RFI mitigation experiments of the measured SAR data verify the effectiveness of the proposed algorithm.