Impact of Cascading Faults on Mega-Constellation-Augmented GNSS PPP Integrity

Danielle Racelis, Mathieu Joerger

Peer Reviewed

Abstract: In this paper, we quantify integrity for a GNSS-PPP system when augmented with mega-constellation satellites (GNSS-MC). The geometric diversity provided by signals from fast-moving LEO satellites is exploited for rapid estimation of floating valued cycle ambiguities. Further, the improved redundancy provided by mega-constellation satellite signals in addition to GNSS enable e cient fault detection using carrier phase Advanced Receiver Autonomous Integrity Monitoring (ARAIM). The proposed framework assumes that mega-constellation (MC) satellite orbit and clock determination is based on their spaceborne GNSS receivers. We quantify the impact on integrity of GNSS faults, which not only a ect the potential users on earth, but also the spaceborne MC receiver data. Given that GNSS faults can cascade to constellation-wide MC faults, this work determines the conditions where GNSS-MC improves integrity, and quantifies this improvement as compared to GNSS only.
Published in: Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020)
September 21 - 25, 2020
Pages: 3055 - 3070
Cite this article: Racelis, Danielle, Joerger, Mathieu, "Impact of Cascading Faults on Mega-Constellation-Augmented GNSS PPP Integrity," Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020), , September 2020, pp. 3055-3070.
https://doi.org/10.33012/2020.17669
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