Mitigation of Ultra Wide-Band Interference for SAR Using Nonnegative Matrix Factorization with Prior Constraints

The proliferation of radio technology increase the likelihood of interference to active remote sensing systems, especially for those high-resolution synthetic aperture radar (SAR) systems with large bandwidth. The presence of radio frequency interference (RFI) in SAR data would affect the image quality and subsequent image interpretation results. Nowadays, radio services have an increasing demand for greater bandwidth, and the contamination bandwidth by RFI are becoming wider. This paper discusses the extreme case that SAR echoes are contaminated by ultra wide-band RFI, i.e., the bandwidth of RFI is relatively larger than the transmitted signal, traditional methods would fail due to large signal loss. In this paper, we proposed a mitigation method using nonnegative matrix factorization with prior constraints like independence and sparsity. The experimental results indicate the effectiveness of the proposed method.