Performance Analyses of a RAIM Algorithm for Kalman Filter with GPS and NavIC Constellations.

ABSTRACT: This paper evaluates the performance of an integrity monitoring algorithm of global navigation satellite systems (GNSS) for the Kalman filter (KF), termed KF receiver autonomous integrity monitoring (RAIM). The algorithm checks measurement inconsistencies in the range domain and requires Schmidt KF (SKF) as the navigation processor. First, realistic carrier-smoothed pseudorange measurement error models of GNSS are integrated into KF RAIM, overcoming an important limitation of prior work. More precisely, the error covariance matrix for fault detection is modified to capture the temporal variations of individual errors with different time constants. Uncertainties of the model parameters are also taken into account. Performance of the modified KF RAIM is then analyzed with the simulated signa

SUBMITTER: Bhattacharyya S 

PROVIDER: S-EPMC8708194 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature