PT  - JOURNAL ARTICLE
AU  - Derek Knowles
AU  - Grace Gao
TI  - Euclidean Distance Matrix-Based Rapid Fault Detection and Exclusion
AID  - 10.33012/navi.555
DP  - 2023 Mar 20
TA  - NAVIGATION: Journal of the Institute of Navigation
PG  - navi.555
VI  - 70
IP  - 1
4099  - https://navi.ion.org/content/70/1/navi.555.short
4100  - https://navi.ion.org/content/70/1/navi.555.full
SO  - NAVIGATION2023 Mar 20; 70
AB  - 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 to both detect and exclude faulty measurements. This paper introduces a new technique for the FDE of GNSS measurements using Euclidean distance matrices. After a brief introduction to Euclidean distance matrices, both the detection and exclusion strategy is explained in detail. Euclidean distance matrix-based FDE is verified in two separate real-world data sets and proven to accurately detect and exclude GNSS faults on an average of 1.4-times faster than residual-based FDE and 70-times faster than solution separation FDE.