NDLI: Integrity risk of cycle resolution in the presence of bounded faults

Content Provider	IEEE Xplore Digital Library
Author	Khanafseh, S. Joerger, M. Pervan, B.
Copyright Year	2012
Description	Author affiliation: Illinois Institute of Technology, Chicago, USA (Khanafseh, S.; Joerger, M.; Pervan, B.)
Abstract	This paper introduces a method to compute an upper bound on the integrity risk of cycle resolution in the presence of bounded measurement errors and faults. In high accuracy applications such as shipboard landing and autonomous airborne refueling, carrier phase cycle ambiguities must be estimated and resolved as integers (or ‘fixed ambiguities’). In applications that also demand high integrity, the cycle resolution process must comply with a fault-free integrity risk requirement. Under normal error conditions, fault-free integrity risk can readily be quantified using existing cycle resolution methods; this is true even in the presence of known measurement biases. However, evaluating the integrity risk of a cycle resolution process under fault hypotheses has not yet been addressed. In the case of rare-event measurement faults such as satellite failures and atmospheric anomalies, the magnitude of the fault is never exactly known, but it can often be bounded. The bound can either be a result of a monitor's minimum detectable error, from extensive data analysis, or even from physical limitation. In this paper, we develop a method to account for these bounded errors in the computation of the integrity risk for navigation systems that rely on fixed carrier phase cycle ambiguities.
Starting Page	664
Ending Page	672
File Size	1352231
Page Count	9
File Format	PDF
ISBN	9781467303859
ISSN	21533598
e-ISBN	9781467303873
DOI	10.1109/PLANS.2012.6236941
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atmospheric measurements Vectors Measurement uncertainty Bounded faults Cycle Resolution Integrity Risk
Content Type	Text
Resource Type	Article

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