A Multi-Receiver GNSS System Geometry Control Algorithm in Mobile Measurement of Railway Track Axis Position

Accurate diagnostics of the railway track axis are crucial for enabling higher operational speeds of rail vehicles. Consequently, assessment methods are under continuous refinement. The precision of mobile GNSS-based measurements is influenced by external factors such as terrain obstructions and satellite geometry. This study presents an innovative approach that continuously monitors a predefined multi-receiver GNSS configuration in real time to enhance positioning accuracy. Field experiments on operational railway lines demonstrate that the proposed method significantly improves measurement reliability and reduces uncertainty compared to the conventional CQ-based quality assessment. The algorithm underlying the proposed method is formulated through analytical equations, allowing it to be implemented in any programming environment. The method’s effectiveness is demonstrated by comparing the expanded uncertainty calculated using GNSS-provided data with that obtained through the proposed approach.

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Publication Details

Journal
Remote Sensing
Published
2025-07-16
DOI
https://doi.org/10.3390/rs17142461
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
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article

A Multi-Receiver GNSS System Geometry Control Algorithm in Mobile Measurement of Railway Track Axis Position

Sławomir Grulkowski, Sławomir Judek, Władysław Koc, Paweł Dąbrowski et al.
1 links
Remote Sensing
Inertial Sensor and Navigation
article

A Multi-Receiver GNSS System Geometry Control Algorithm in Mobile Measurement of Railway Track Axis Position

Sławomir Grulkowski, Sławomir Judek, Władysław Koc, Paweł Dąbrowski, Piotr Chrostowski, Michał Michna, Jacek Szmagliński, Roksana Licow, Krzysztof Karwowski, Andrzej Wilk, Jacek Skibicki
article en

Abstract

Accurate diagnostics of the railway track axis are crucial for enabling higher operational speeds of rail vehicles. Consequently, assessment methods are under continuous refinement. The precision of mobile GNSS-based measurements is influenced by external factors such as terrain obstructions and satellite geometry. This study presents an innovative approach that continuously monitors a predefined multi-receiver GNSS configuration in real time to enhance positioning accuracy. Field experiments on operational railway lines demonstrate that the proposed method significantly improves measurement reliability and reduces uncertainty compared to the conventional CQ-based quality assessment. The algorithm underlying the proposed method is formulated through analytical equations, allowing it to be implemented in any programming environment. The method’s effectiveness is demonstrated by comparing the expanded uncertainty calculated using GNSS-provided data with that obtained through the proposed approach.

Remote SensingVol. 17(14)
Gdańsk University of Technology (PL)
Openalex Percentile: Top 76%
Inertial Sensor and Navigation
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