Fast multi-fault detection and exclusion approach for GNSS integrity monitoring
Résumé
Integrity monitoring is considered now as an important part of an autonomous navigation system. Localization sensors faults, due to systematic malfunctioning, require integrity reinforcement of multi-sources information 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 an 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 receiver autonomous integrity monitoring (RAIM), the current study illustrates the performance of the proposed fault detection algorithm and the pertinence of the reconfiguration of the multi-sources information data fusion.