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ORIGINAL RESEARCH article
Front. Phys.
Sec. Space Physics
Volume 13 - 2025 | doi: 10.3389/fphy.2025.1557330
This article is part of the Research Topic Frontiers in Multi-Source Positioning, Navigation and Timing (PNT) View all 8 articles
A Research on Low-Earth-Orbit Signal-of-Opportunity Interference Suppression Algorithm Based on Adaptive Signal Iterative Subspace Projection Technique
Provisionally accepted
Lihao Yao 1,2*
Honglei Qin 1 Deyong Xian 2
Hai Sha 2 Gangqiang Guan 2 Zhijun Liu 2 Donghan He 2 Liwei Zhang 2 Boyun Gu 3 Bin Fan 4- 1 Beihang University, Beijing, China
- 2 Beijing Satellite Navigation Center (BSNC), Beijing, China
- 3 Beijing Institute of Technology, Beijing, Beijing Municipality, China
- 4 PLA Army Academy of Artillery and Air Defense, Hefei, China
Signal-of-Opportunity (SOP) positioning based on Low-Earth-Orbit (LEO) constellations has gradually become a research hotspot. Due to the large number, wide spectral coverage, and strong signal power of LEO satellite SOP signals, they exhibit strong anti-jamming capabilities. However, no in-depth research has yet been conducted on their anti-jamming performance, particularly regarding the most common type of interference 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 desired signal during the interference suppression process. Simulation and experimental results indicate that, compared to traditional algorithms, this algorithm effectively eliminates single/multi-component PFM interference and improves interference suppression performance under conditions of narrow bandwidth and high power, and holds high application value in LEO satellite SOP positioning.
Keywords: Signal of Opportunity1,, Low-Earth-Orbit satellite2,, PFM3,, anti-jamming4,, Adaptive Signal Iterative5,, Subspace Projection6
Received: 08 Jan 2025; Accepted: 11 Mar 2025.
Copyright: © 2025 Yao, Qin, Xian, Sha, Guan, Liu, He, Zhang, Gu and Fan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lihao Yao, Beihang University, Beijing, China
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