Multi-sensor data fusion based on information ...
Document type :
Communication dans un congrès avec actes
Title :
Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoring
Author(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]
Conference title :
Fusion 2012
City :
Singapore
Country :
Singapour
Start date of the conference :
2012-07-09
Book title :
Proc IEEE Fusion 2012
Publication date :
2012
English keyword(s) :
RAIM
data fusion
Fault detection
information theory
localisation
GNSS
RAIM.
data fusion
Fault detection
information theory
localisation
GNSS
RAIM.
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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