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Positioning Error Modeling with Signal Burst of LEO Constellation

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Artificial Intelligence for Communications and Networks (AICON 2021)

Abstract

In recent years, with the rapid expansion of satellite applications, Global Navigation Satellite System (GNSS) can barely satisfy the increasing demand for precise services. Such that, it becomes a challenge to build a hybrid satellite navigation system to achieve more precise and robust services. With the advantages of less time-delay and less pass-loss, LEO satellite can significantly enhance the accuracy, integrity, availability and anti-interference ability of GNSS, which is expected to break through the bottleneck of global positioning, navigation and timing (PNT) services. Aiming to develop the next generation hybrid satellite navigation system, this paper focuses on the LEO navigation signal’s performance analysis. Firstly, we proposes the mathematical model of LEO signal burst, then the estimation error of Doppler and Pseudo-range is derived, and finally, the positioning performance of large-scale LEO constellations is analyzed by STK and MATLAB. The research results of this paper proves the feasibility of LEO satellite navigation and provides a sensible solution for next generation satellite system.

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cui, Z., Yue, F., Tian, R., Zhang, S., Dong, Q. (2021). Positioning Error Modeling with Signal Burst of LEO Constellation. In: Wang, X., Wong, KK., Chen, S., Liu, M. (eds) Artificial Intelligence for Communications and Networks. AICON 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 397. Springer, Cham. https://doi.org/10.1007/978-3-030-90199-8_3

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  • DOI: https://doi.org/10.1007/978-3-030-90199-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90198-1

  • Online ISBN: 978-3-030-90199-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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