Euclidean Distance Matrix-Based Rapid Fault Detection and Exclusion

Abstract Faulty signals from global navigation satellite systems (GNSSs) often lead to erroneous position estimates. A variety of fault detection and exclusion (FDE) methods have been proposed in prior research both detect exclude faulty measurements. This paper introduces a new technique for the FDE GNSS measurements using Euclidean distance matrices. After brief introduction matrices, strategy is explained detail. matrix-based verified two separate real-world data sets proven accurately faults on an average 1.4-times faster than residual-based 70-times solution separation FDE.