SS-RAIM Based Integrity Architecture for CDGNSS Systems Against Satellite Measurement Faults

Dongchan Min, Noah Minchan Kim, Junsoo Kim, Jiyun Lee, Sam Pullen

Peer Reviewed

Abstract: In this paper, we propose an integrity architecture for the Carrier Phase-based Differential Global Navigation Satellite System (CDGNSS). The CDGNSS utilizes carrier-phase measurements and is reliant on the correct estimation (or resolution) of cycle ambiguities. However, due to the nonlinear nature of ambiguity resolution, protection level computation for CDGNSS presents greater challenges compared to that of traditional code-based systems. The method we propose addresses these difficulties by employing Solution Separation-based Receiver Autonomous Integrity Monitoring (SS-RAIM). This architecture considers the integrity risk associated with the incorrect ambiguity resolution by including correct/incorrect ambiguity fix probabilities into the protection level equation. In order to apply the SS-RAIM to CDGNSS, the main contributions of this work, which have not been explored in the previous works, are twofold. First, we revisit the variance computation property of the solution separations-based detection test statistic. Second, we verify the applicability of the measurement overbounding method. These considerations, which arise from the differences in navigation algorithms between code-based and CDGNSS systems, are mathematically demonstrated. Finally, we present performance analysis results using an illustrative example of a dual-constellation, dual-frequency navigation system.
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: 2550 - 2569
Cite this article: Min, Dongchan, Kim, Noah Minchan, Kim, Junsoo, Lee, Jiyun, Pullen, Sam, "SS-RAIM Based Integrity Architecture for CDGNSS Systems Against Satellite Measurement Faults," Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), Denver, Colorado, September 2023, pp. 2550-2569. https://doi.org/10.33012/2023.19219
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