Phase-Aligned Discrimination of Multi-Source RFI in Dual-Polarization SAR

Radio frequency interference (RFI) poses a critical challenge to synthetic aperture radar (SAR), particularly in scenarios with multiple sources where signals overlap in the time-frequency domain. Conventional mitigation methods often degrade due to insufficient source discrimination. To address this issue, this paper proposes a phase-based discrimination method for multi-source RFI in dual-polarization SAR. The method exploits the intrinsic inter-channel phase difference induced by polarization characteristics to enhance source-specific responses, and employs an iterative framework to progressively separate multiple RFI components. Experiments on real Sentinel-1 data demonstrate that the proposed method can effectively discriminate and separate different RFI sources under both pulse and continuous wave RFI scenarios, validating its effectiveness in practical environments.