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ARAIM Continuity and Availability Assertions, Assumptions, and Evaluation Methods

Authors: Mathieu Joerger; Yawei Zhai; Ilaria Martini; Juan Blanch; Boris Pervan;

ARAIM Continuity and Availability Assertions, Assumptions, and Evaluation Methods

Abstract

In this paper, we describe assumptions and assertions needed to account for continuity and availability risks in Advance Receiver Autonomous Integrity Monitoring (ARAIM). We identify key differences with current RAIM-based operations, including the potential of ARAIM to not require systematic pre-flight availability screening. The assumptions and assertions provide a rationale on why fault exclusion is needed in horizontal-ARAIM (H-ARAIM), but is not needed in vertical ARAIM (V-ARAIM). We implement existing methods and design new approaches to predict continuity and availability in the presence of satellite faults and outages, and we analyze performance sensitivity to risk requirements and measurement models.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Top 10%
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