A Sensitivity-based Method for Fault Detection and Identification
Yun Ping Wu, Jinling Wang · 2008
Receiver Autonomous Integrity Monitoring (RAIM) for GNSS is required for safety and liability critical applications. The existing FDI (fault detection and identification) algorithms for RAIM are usually based on statistic testing, which is carried out with a statistic computed from the residuals of measurements. In this paper, a scheme which combines the conventional statistic test procedure with the sensitivity matrix and the correlation coefficients between the w-test statistics is presented. Simulated faults are introduced into real GNSS data to evaluate the performance of the proposed FDI by comparison with the conventional FDI. The results show that by taking into account of the sensitivity matrix and the correlation coefficients, correct fault detection and identification rates are increased and at the same time, the computation time is reduced