Joint Narrowband RFI Suppression and Phase Synchronization Signal Retrieval for BiSAR via Robust Principal Component Analysis

Abstract

Due to the complex electromagnetic environment and the increased demand for frequency occupation, radio frequency interference (RFI) is becoming a significant issue for the bistatic synthetic aperture radar (BiSAR), especially in the synchronization links. This article proposes a novel rank prior matrix recovery (RPMR) method based on the robust principal component analysis (RPCA) to suppress the interferences in phase synchronization of BiSAR, by which the high-accuracy synchronization phase can be acquired. First, a signal model considering the RFI in phase synchronization is proposed, proving that the synchronization signal matrix and the RFI signal matrix have the low-rank and sparsity properties in the range frequency domain, respectively. Thus, the constraint conditions of RPCA can be satisfied. Then, the RPMR method is proposed to acquire the low-rank matrix representing the synchronization signal and the sparsity matrix representing the RFI signal. In RPMR, the partial singular value decomposition utilizing the rank prior is used to replace the traditional total singular value decomposition, thus reducing the computational cost. Finally, the high-accuracy synchronization phase can be extracted from the synchronization signal by the pulse compression. Simulation and experimental results using the real measured synchronization data of LuTan-1 validate the superiority of the proposed method.

Keywords

• Bistatic synthetic aperture radar (BiSAR)
• low-rank and sparsity recovery
• phase synchronization
• radio frequency interference (RFI)