Multi-sensor data fusion based on information ...
Type de document :
Communication dans un congrès avec actes
Titre :
Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoring
Auteur(s) :
Aït Tmazirte, Nourdine [Auteur]
Systèmes Tolérants aux Fautes [STF]
El Badaoui El Najjar, Maan [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Pomorski, Denis [Auteur]
Systèmes Tolérants aux Fautes [STF]
Systèmes Tolérants aux Fautes [STF]
El Badaoui El Najjar, Maan [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Pomorski, Denis [Auteur]
Systèmes Tolérants aux Fautes [STF]
Titre de la manifestation scientifique :
Fusion 2012
Ville :
Singapore
Pays :
Singapour
Date de début de la manifestation scientifique :
2012-07-09
Titre de l’ouvrage :
Proc IEEE Fusion 2012
Date de publication :
2012
Mot(s)-clé(s) en anglais :
RAIM
data fusion
Fault detection
information theory
localisation
GNSS
RAIM.
data fusion
Fault detection
information theory
localisation
GNSS
RAIM.
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
Integrity monitoring is considered now as an important part of a vehicle navigation system. Localisation sensors faults due to systematic malfunctioning require integrity reinforcement of multi-sensors fusion method through ...
Lire la suite >Integrity monitoring is considered now as an important part of a vehicle navigation system. Localisation sensors faults due to systematic malfunctioning require integrity reinforcement of multi-sensors fusion method through systematic analysis and reconfiguration method in order to exclude the erroneous information from the fusion procedure. In this paper, we propose a method to detect faults of the GPS signals by using a distributed information filter with a probability test. In order to detect faults, consistency is examined through a log likelihood ratio between the information innovation of each satellite and the satellites mutual information. Through GPS measurements and the application of the autonomous integrity monitoring system, the current study illustrates the performance of the proposed fault detection algorithm and the pertinence of the reconfiguration of the multi-sensors data fusion.Lire moins >
Lire la suite >Integrity monitoring is considered now as an important part of a vehicle navigation system. Localisation sensors faults due to systematic malfunctioning require integrity reinforcement of multi-sensors fusion method through systematic analysis and reconfiguration method in order to exclude the erroneous information from the fusion procedure. In this paper, we propose a method to detect faults of the GPS signals by using a distributed information filter with a probability test. In order to detect faults, consistency is examined through a log likelihood ratio between the information innovation of each satellite and the satellites mutual information. Through GPS measurements and the application of the autonomous integrity monitoring system, the current study illustrates the performance of the proposed fault detection algorithm and the pertinence of the reconfiguration of the multi-sensors data fusion.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :