Dependency-Aware Multi-Reference Fault Monitoring for Dynamic Positioning Under Common-Mode GNSS Degradation

Two global navigation satellite system (GNSS) receivers using differential corrections can agree while supplying a shared position bias to a dynamic-positioning controller. We evaluate a dependency-aware multi-reference monitor (DA-MRIM) that combines source residuals, a configured GNSS-group test, temporal confirmation and recovery. Laser and hydroacoustic references provide evidence outside the GNSS group. Tests use two synthetic closed-loop plants with correlated receiver errors and asynchronous measurements. Snapshot comparators share the same dependency information; one updates decisions only on new acquisitions. Under a common-mode bias ramp, DA-MRIM reduces estimation root-mean-square error (RMSE) relative to this event-driven comparator by 0.0499 m on the linear plant and 0.0456 m on the nonlinear plant. Paired 95% intervals are 0.0325–0.0647 and 0.0316–0.0578 m. Compound-fault gains vary across the plants, and lower estimation error does not consistently reduce vessel excursion. A biased laser can cause repeated exclusion of healthy GNSS receivers. Coordinated monitoring, therefore, improves estimation for the tested common-mode fault, while fault attribution and timing remain important costs. Vessel-reference data and hardware testing are needed for operational assessment.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2026-09-28
DOI
https://doi.org/10.3390/jmse14191795
Primary Topic
GNSS positioning and interference
Type
article
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article

Dependency-Aware Multi-Reference Fault Monitoring for Dynamic Positioning Under Common-Mode GNSS Degradation

Yong Liu, Xiaori Gao, Daming Sun, Qiang Li
Journal of Marine Science and Engineering
GNSS positioning and interference
article

Dependency-Aware Multi-Reference Fault Monitoring for Dynamic Positioning Under Common-Mode GNSS Degradation

Yong Liu, Xiaori Gao, Daming Sun, Qiang Li
article en

Abstract

Two global navigation satellite system (GNSS) receivers using differential corrections can agree while supplying a shared position bias to a dynamic-positioning controller. We evaluate a dependency-aware multi-reference monitor (DA-MRIM) that combines source residuals, a configured GNSS-group test, temporal confirmation and recovery. Laser and hydroacoustic references provide evidence outside the GNSS group. Tests use two synthetic closed-loop plants with correlated receiver errors and asynchronous measurements. Snapshot comparators share the same dependency information; one updates decisions only on new acquisitions. Under a common-mode bias ramp, DA-MRIM reduces estimation root-mean-square error (RMSE) relative to this event-driven comparator by 0.0499 m on the linear plant and 0.0456 m on the nonlinear plant. Paired 95% intervals are 0.0325–0.0647 and 0.0316–0.0578 m. Compound-fault gains vary across the plants, and lower estimation error does not consistently reduce vessel excursion. A biased laser can cause repeated exclusion of healthy GNSS receivers. Coordinated monitoring, therefore, improves estimation for the tested common-mode fault, while fault attribution and timing remain important costs. Vessel-reference data and hardware testing are needed for operational assessment.

Journal of Marine Science and EngineeringVol. 14(19)
Dalian Maritime University (CN)
Openalex Percentile: Top 8%
GNSS positioning and interference
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