Journal of Navigation · 2010 · 29 citations · 10 references
ComputingAutonomous SystemsSystems EngineeringAvionicsGlobal Navigation Satellite SystemsSafety EngineeringFailure DetectionFault DetectionIntegrity MonitoringGnss PositioningIntegrity RiskIntegrity Risk AssessmentProbability Of Detection AnalysisProbability Of Detection ModelingProtection LevelsReceiver Autonomous Integrity MonitoringWeighted Least Squares
International standards require the use of a weighted least-squares approach to onboard Receiver Autonomous Integrity Monitoring (RAIM). However, the protection levels developed to determine if the conditions exist to perform a measurement check (i.e. failure detection) are not specified. Various methods for the computation of protection levels exist. However, they are essentially approximations to the complex problem of computing the worst-case missed detection probability under a weighted system. In this paper, a novel approach to determine this probability at the worst-case measurement bias is presented. The missed detection probabilities are then iteratively solved against the integrity risk requirement in order to derive an optimal protection level for the operation. It is shown that the new method improves availability by more than 30% compared to the baseline weighted RAIM algorithm. A version of this paper was first presented at the US Institute of Navigation (ION) GNSS 2009 Conference in Savannah, Georgia.
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Continuous Univariate Distributions.
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Washington Y. Ochieng, K. Sauer, David Walsh et al. · Journal of Navigation · 2003 · 147 citations
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