A research on low-earth-orbit signal-of-opportunity interference suppression algorithm based on adaptive signal iterative subspace projection technique

作者：Li-Hao Yao, Honglei Qin, De-Yong Xian, Boyun Gu, Hai Sha, Gang-Qiang Guan, Zhijun Liu, Donghan He, Li-Wei Zhang, Bin Fan · 发表于：Frontiers of Physics · 年份：2025 · DOI：10.3389/fphy.2025.1557330 · 被引用次数：1

Signal-of-Opportunity (SOP) positioning based on Low-Earth-Orbit (LEO) constellations has gradually become a research hotspot. LEO satellite SOP positioning possess strong anti-jamming capabilities due to their large quantity, wide spectral coverage, and high signal power. However, few studies have deeply investigated their anti-jamming performance, particularly regarding the most common interference type faced by ground receivers - Periodic Frequency Modulation (PFM) interference. The downlink signals of LEO satellites differ significantly from those of Global Navigation Satellite Systems (GNSS) based on Medium-Earth-Orbit (MEO) or Geostationary-Earth-Orbit (GEO) satellites, making traditional interference suppression methods inapplicable. In this paper, we utilize the generalized periodicity of PFM interference signals and the characteristics of LEO constellation signals to propose an Adaptive Signal Iterative Projection and Interference Suppression (ASIPIS) algorithm. This algorithm concentrates the energy of PFM interference, which is dispersed over a wide bandwidth, into a few frequency points, enhancing the concentration of the interference and its separation from the LEO satellite signals. This effectively reduces the overlap between LEO satellite signals and interference. The algorithm then uses subspace projection to map the interference and the desired signal into different subspaces, eliminating the interference components and thus reducing the damage to the desire...