RFI Suppression Method for High-Frequency Passive Bistatic Radar Based on Angle-Based High-Order Singular Value Decomposition

In recent years, high-frequency passive bistatic radar (HFPBR) has been widely used for the beyond-horizon detection of moving targets. However, owing to the abundance of active electromagnetic wave signals from other external radio transmitting devices in free space, severe radio frequency interference (RFI) issues arise upon entering the radar receiver, significantly degrading the radar data quality and leading to target detection misses. To address this problem, this study optimises a multidomain joint orthogonal subspace projection algorithm based on higher-order singular value decomposition (HOSVD) and proposes an RFI suppression method utilising angle-based HOSVD multidomain joint orthogonal subspace projection. The simulation results indicate that compared with previous orthogonal subspace projection RFI cancelation schemes, this method, when applied in HFPBR systems with random-modulation OFDM symbols, can effectively suppress interference whilst preserving the desired signals, demonstrating notable advantages and enhanced robustness. The proposed method was applied to experimental HFPBR data with severe RFI. After RFI suppression, target detection and track tracing were performed, yielding trajectories consistent with those from ads-b, thereby validating the effectiveness of the proposed algorithm.