A Tutorial Review of Statistical Snapshot Detectors for GNSS/RAIM Fault Detection: Unified Derivations and Detector Relationships
Published in Sensors, 2026
What problem does this paper address?
Statistical snapshot detectors are central to GNSS receiver autonomous integrity monitoring, but their derivations and relationships are often presented with different notation and assumptions. This makes it harder to compare methods and understand when two apparently different detectors are mathematically connected.
What does the review contribute?
The paper provides unified derivations of major snapshot detectors used for GNSS/RAIM fault detection and explains the relationships among them. Its tutorial structure is intended to make the detector landscape more transparent, reproducible, and accessible to researchers and students.
Why does it matter?
A common derivation framework helps readers distinguish genuinely different design choices from equivalent formulations. It also provides a clearer foundation for selecting, implementing, and teaching statistical fault-detection methods.
DOI: https://doi.org/10.3390/s26154938
Recommended citation:
Yan, P., Song, B., Li, Y., & Hsu, L.-T. (2026). "A Tutorial Review of Statistical Snapshot Detectors for GNSS/RAIM Fault Detection: Unified Derivations and Detector Relationships". Sensors, 26(15), 4938. https://doi.org/10.3390/s26154938
BibTeX
@article{yan2026snapshotdetectors,
author = {Yan, Penggao and Song, Baoshan and Li, Yuan and Hsu, Li-Ta},
title = {A Tutorial Review of Statistical Snapshot Detectors for GNSS/RAIM Fault Detection: Unified Derivations and Detector Relationships},
journal = {Sensors},
year = {2026},
volume = {26},
number = {15},
pages = {4938},
doi = {10.3390/s26154938},
url = {https://doi.org/10.3390/s26154938}
} 