GPS Signal Tracking and Positioning Through Long Duration Wide Band Interference with Multiple Model Kalman Filter

Wengxiang Zhao, Samer Khanafseh, Boris Pervan

Peer Reviewed

Abstract: In this paper, we extend prior research on Multiple Model (MM) Kalman filtering for Global Positioning System (GPS) carrier phase and frequency estimation in weak or jammed signal scenarios. MM Kalman filtering enables GPS receivers to maintain high-quality positioning, navigation, and timing solutions even during prolonged jamming periods, lasting up to several hours. In prior research, we demonstrated the superior tracking performance of the MM Kalman filter over traditional Phase Lock Loop (PLL) under strong Radio Frequency Interference (RFI) event scenario. The tracking result was validated for a single satellite under a 15 dB-Hz carrier to noise ratio (C/N0). In this research, we continue the work to obtain position solutions based on the MM Kalman filter estimation output when all satellites are being jammed by wideband radio frequency interference. We further enhance performance by augmenting the MM Kalman filter with historical navigation data knowledge and implementing an upload-robust bit prediction strategy to support extended operational duration. A detection method based on IODE (Issue of Data, Ephemeris) bits is introduced and applied to enhance performance during periods when the navigation message remains unchanged. With these methods, GPS receivers are shown to be able to operate through long duration wideband jamming events and provide high quality positioning solutions.
Published in: Proceedings of the 2024 International Technical Meeting of The Institute of Navigation
January 23 - 25, 2024
Hyatt Regency Long Beach
Long Beach, California
Pages: 941 - 951
Cite this article: Zhao, Wengxiang, Khanafseh, Samer, Pervan, Boris, "GPS Signal Tracking and Positioning Through Long Duration Wide Band Interference with Multiple Model Kalman Filter," Proceedings of the 2024 International Technical Meeting of The Institute of Navigation, Long Beach, California, January 2024, pp. 941-951. https://doi.org/10.33012/2024.19550
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