Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

Bayesian Inference of GNSS Failures

Abstract : The probability of failure (failure rate) is a key input parameter to integrity monitoring systems used for safety, liability or mission critical applications. A standard approach in the design of Global Positioning System (GPS) integrity monitoring is to utilize the service commitment on the probability of major service failure, often by applying a conservative factor. This paper addresses the question of what factor is appropriate by applying Bayesian inference to real and hypothetical fault histories. Global Navigation Satellite System (GNSS) anomalies include clock or signal transmission type faults which are punctual (may occur at any time) and incorrect ephemeris data which are broadcast for a nominal two hours. These two types of anomaly, classified as continuous and discrete respectively are addressed. Bounds on the total probability of failure are obtained with given confidence levels subject to well defined hypotheses relating past to future performance. Factors for the GPS service commitment of 10-5 per hour per satellite are obtained within the range two to five with high confidence (up to 1-10-9).
Type de document :
Article dans une revue
Liste complète des métadonnées

https://hal-enac.archives-ouvertes.fr/hal-01849420
Contributeur : Carl Milner Connectez-vous pour contacter le contributeur
Soumis le : jeudi 26 juillet 2018 - 11:09:10
Dernière modification le : mercredi 3 novembre 2021 - 05:14:49
Archivage à long terme le : : samedi 27 octobre 2018 - 12:51:55

Fichier

Inference Paper v21.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Carl Milner, Christophe Macabiau, Paul Thevenon. Bayesian Inference of GNSS Failures. Journal of Navigation, Cambridge University Press (CUP), 2016, 69 (2), pp.277-294. ⟨10.1017/S0373463315000697⟩. ⟨hal-01849420⟩

Partager

Métriques

Consultations de la notice

123

Téléchargements de fichiers

297