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Fully Adaptive Smart Vector tracking of Weak GPS Signals

  • Research Article-Electrical Engineering
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Abstract

Global Navigation Satellite Systems (GNSS) are used in various applications such as mapping, automotive, aviation, military and so on. GNSS receivers cannot track satellites signal in degraded signal environment. In recent years, vector tracking is one of the methods that have been used to solve the weak signal tracking problem. In the vector tracking, the extended Kalman filter (EKF) is used to estimate the states of the system. The EKF has no ability to track the satellite signal when the signal is under unfavorable conditions. In this paper, a method based on the extended Kalman filter is proposed, in which all the adjustable parameters are adapted in a fuzzy method. The results show that this proposed method can track weak signals better than the previous methods. With this method, it is possible to track poor signals for longer times than previous methods.

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Acknowledgements

This work was supported by the Laboratory of Satellite Positioning in Iran University of Science and Technology.

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Authors and Affiliations

  1. Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran, 16846-13114, Iran

    M. A. Farhad, M. R. Mosavi & A. A. Abedi

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  1. M. A. Farhad
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  2. M. R. Mosavi
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  3. A. A. Abedi
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Correspondence to M. R. Mosavi.

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Farhad, M.A., Mosavi, M.R. & Abedi, A.A. Fully Adaptive Smart Vector tracking of Weak GPS Signals. Arab J Sci Eng 46, 1383–1393 (2021). https://doi.org/10.1007/s13369-020-05172-4

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  • DOI: https://doi.org/10.1007/s13369-020-05172-4

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