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Summary

This study enhances Global Navigation Satellite System (GNSS) positioning accuracy using a network of reference stations and Kalman filtering. Utilizing multiple GNSS systems significantly improves accuracy for reliable navigation.

Keywords:
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Area of Science:

  • Geodesy and Geomatics
  • Satellite Navigation Systems
  • Geodetic Network Analysis

Background:

  • Permanent geodetic networks are crucial for Global Navigation Satellite System (GNSS) measurements.
  • Simultaneous use of multiple reference stations enables independent positioning control and realistic accuracy assessment.

Purpose of the Study:

  • To present and evaluate a Dual-frequency GNSS (DGNSS) network code positioning methodology.
  • To assess the impact of integrating multiple GNSS systems (e.g., GPS, Galileo, GLONASS) on positioning accuracy.
  • To investigate the influence of DGNSS code positioning accuracy on ambiguity resolution for phase observations.

Main Methods:

  • Utilized real GPS data with a mobile receiver and four ASG-EUPOS reference stations.
  • Performed DGNSS positioning simulations integrating two and four different GNSS systems.
  • Applied Kalman filtering for horizontal and vertical coordinate refinement.
  • Analyzed the PREFMAR method for ambiguity resolution using L1-L5 GPS observations.

Main Results:

  • Achieved significant improvements in Differential GNSS (DGNSS) positioning accuracy.
  • Demonstrated that using four GNSS systems can yield DGNSS accuracy of 0.1m (horizontal) and 0.2m (height) with code measurements.
  • Showcased the impact of DGNSS code positioning accuracy on ambiguity determination.

Conclusions:

  • The developed DGNSS positioning methodology offers reliable navigation capabilities.
  • Employing at least two independent GNSS systems is recommended for robust navigation solutions.
  • Kalman filtering effectively reduces positioning deviations, enhancing overall accuracy.