Modeling the Interference of Ionospheric Irregularities on GNSS Signals Using Discrete Markov Chains

Paulo R. P. Silva, Marcelo G. S. Bruno, Alison O. Moraes

Peer Reviewed

Abstract:	Ionospheric scintillation strongly impacts global navigation satellite system (GNSS)-based applications. In these events, receivers are subject to signal losses that affect positioning availability and performance. This paper presents a stochastic model of ionospheric interference on GNSS signals based on Markov chains. A dataset composed of recorded ionospheric scintillation data, from receivers located at the low-latitude Brazilian region, was used to characterize the probabilities of transitions between the defined states following frequentist statistics. The analysis results showed that transitions between non-neighboring states are unlikely and that “-1 affected channel” transitions have a higher probability than “+1 affected channel” transitions. The proposed model will enable the assessment of the impact of ionosphere scintillation on GNSS-based applications under a range of scintillation conditions.
Published in:	Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023) September 11 - 15, 2023 Hyatt Regency Denver Denver, Colorado
Pages:	3963 - 3971
Cite this article:	Silva, Paulo R. P., Bruno, Marcelo G. S., Moraes, Alison O., "Modeling the Interference of Ionospheric Irregularities on GNSS Signals Using Discrete Markov Chains," Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), Denver, Colorado, September 2023, pp. 3963-3971. https://doi.org/10.33012/2023.19417
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