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Research on Highly Robust Navigation and Positioning Algorithm Based on Interference Pattern Recognition
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Lichao GAO, Rongbing ZHANG
Journal of Telemetry, Tracking and Command | 2025, 46(5) : 89 - 97
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Journal of Telemetry, Tracking and Command | 2025, 46(5): 89-97
Navigation Technology Column
Research on Highly Robust Navigation and Positioning Algorithm Based on Interference Pattern Recognition
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Lichao GAO, Rongbing ZHANG
Affiliations
  • Beijing Research Institute of Telemetry, Beijing 100076, China
Published: 2025-09-15 doi: 10.12347/j.ycyk.20240721001
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Traditional inertial-satellite integrated navigation relies on satellite navigation to provide high-precision positioning results for position correction, which is difficult to adapt to the environment of strong suppression interference. To address this issue, this paper proposes an inertial navigation correction method based on interference direction-of-arrival (DOA) estimation, which can provide satellite-independent positioning correction information in strong jamming environments. The algorithm first estimates the interference direction-of-arrival (DOA) using compressed sensing-based direction finding, then combines this with the shortterm high-precision vehicle trajectory provided by inertial navigation to localize low-dynamic or stationary interference sources. Subsequently, it utilizes the estimated interference source positions and DOA information to inversely determine the aircraft’s position, ultimately providing the inertial navigation system with a satellite-independent correction reference. It is suitable for extreme suppression interference confrontation environment where satellite navigation cannot work for a long time. The main innovation is that a robust positioning method based on the position estimation of the interference source, which provides a extra positioning information source other than satellite navigation for inertial navigation in the application scenario where satellite navigation fails due to interference, and the corrected positioning information source does not need to add additional hardware sensors. The simulation results show that the algorithm can provide stable positioning for inertial navigation in the environment of four static strongly suppressed interference sources, and meet the navigation and positioning requirements in the environment of strong electromagnetic interference.

Robust navigation  /  Interference DOA estimation  /  Compressive sensing
Lichao GAO, Rongbing ZHANG. Research on Highly Robust Navigation and Positioning Algorithm Based on Interference Pattern Recognition[J]. Journal of Telemetry, Tracking and Command, 2025 , 46 (5) : 89 -97 . DOI: 10.12347/j.ycyk.20240721001
Year 2025 volume 46 Issue 5
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doi: 10.12347/j.ycyk.20240721001
  • Receive Date:2024-07-21
  • Online Date:2026-03-13
  • Published:2025-09-15
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  • Received:2024-07-21
  • Revised:2024-10-11
Affiliations
    Beijing Research Institute of Telemetry, Beijing 100076, China
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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