Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoring

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 erron...

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Bibliographic Details
Published in2012 15th International Conference on Information Fusion pp. 743 - 749
Main Authors Tmazirte, Nourdine Ait, Najjar, M. E. E., Smaili, C., Pomorski, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2012
Subjects
data fusion
Fault detection
Global Navigation Satellite Systems
Global Positioning System
GNSS
information theory
localisation
Monitoring
RAIM
Receivers
Satellites
Sensors
Vectors
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Summary: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 of the information innovation of each satellite using mutual information concept. 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.
ISBN:1467304174
9781467304177