Light Integrity Algorithm Considering Local Environmental Feared Events

Yuki Sato, Rui Hirokawa, Masao Higuchi, Akinori Taira

Abstract:	In this study, we propose a new protection level computation algorithm, where a nonlinear optimization problem derived from conventional receiver autonomous integrity monitoring (RAIM) is just once solved for a bias vector, such that it satisfies the constraints of its lower and upper bounds. This algorithm does not limit the number of assumed faulty measurements, while avoiding a combinatorial increase of computational load, which is usually problematic in RAIM and advanced RAIM as the number of fault modes increase. Additionally, the upper and lower bounds of the bias vector can be applied as a part of the integrity assistance data, which is being standardized in the Third Generation Partnership Project (3GPP) and Radio Technical Commission for Maritime Services (RTCM).
Published in:	Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022) September 19 - 23, 2022 Hyatt Regency Denver Denver, Colorado
Pages:	788 - 798
Cite this article:	Sato, Yuki, Hirokawa, Rui, Higuchi, Masao, Taira, Akinori, "Light Integrity Algorithm Considering Local Environmental Feared Events," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 788-798. https://doi.org/10.33012/2022.18410
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