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Assessment of Adjustment of GNSS Railway Measurements with Parameter-Binding Conditions in a Stationary Scenario
Abstract
The study aims to assess the applicability of the ordinary least squares method, robust estimation, and conditions-binded adjustment in processing the six synchronous coordinate pairs of global navigation satellite system (GNSS) receivers. The research is part of the research project InnoSatTrack, focused on the enhancement of the determination of geometrical parameters of railway tracks using GNSS, inertial, and other sensors. A fixed frame of installation of six receivers is used in the data processing. Due to the limited availability of railway routes for measurements, the stationary campaign was conducted to gather data for the adjustment procedures tests. Six GNSS receivers in the frame-restricted configuration were set up using the tachymetric method for recording 96,729 synchronous static observations. Post-processed coordinates of the receivers were adjusted according to the geometrical conditions of the survey frame. Analysis showed higher applicability of the conditions-binded method than other estimation methods by obtaining superior results in both the precision and the maintenance of the design conditions factors than in the OLS and robust estimators.
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Authors (5)
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Pawel S. Dabrowski dr inż
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Cezary Specht prof. dr hab. inż.
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Mariusz Specht dr inż.
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Oktawia Lewicka mgr
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/app122412851
- License
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Applied Sciences-Basel
no. 12,
ISSN: 2076-3417 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Dabrowski P. S., Specht C., Specht M., Burdziakowski P., Lewicka O.: Assessment of Adjustment of GNSS Railway Measurements with Parameter-Binding Conditions in a Stationary Scenario// Applied Sciences-Basel -Vol. 12,iss. 24 (2022), s.12851-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/app122412851
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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