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Related Experiment Videos

Modeling DGNSS Pseudo-Range Correction Messages by Utilizing Satellite Repeat Time.

Dong-Hyo Sohn1,2, Kwan-Dong Park3, Hyunu Tae4

  • 1Department of Geoinformatic Engineering, Inha University, Incheon 22212, Korea. dhsohn5@gmail.com.

Sensors (Basel, Switzerland)
|April 12, 2017
PubMed
Summary

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This study introduces a novel pseudo-range correction (PRC) modeling system for Differential Global Navigation Satellite System (DGNSS) applications. The system achieves reliable positioning accuracy even without real-time PRC messages, outperforming standalone methods.

Area of Science:

  • Geomatics Engineering
  • Satellite Navigation Systems
  • Geodetic Science

Background:

  • Differential Global Navigation Satellite System (DGNSS) relies on pseudo-range corrections (PRCs) for high accuracy.
  • Obtaining real-time PRC messages can be challenging, leading to degraded positioning performance.
  • Existing methods lack robust solutions for situations with unavailable PRC data.

Purpose of the Study:

  • To develop and validate a PRC modeling system for DGNSS.
  • To maintain positioning accuracy when PRC messages are unavailable.
  • To improve the reliability of satellite-based positioning in challenging environments.

Main Methods:

  • A PRC modeling scheme was developed using GNSS satellite repeat times and historical PRC data.
Keywords:
BeiDouDGNSSGNSSGPSpseudo-range correction

Related Experiment Videos

  • The modeled PRC data was compared against real PRC values at a reference station.
  • The developed PRC modeling was applied to Differential Global Positioning System (DGPS) and Differential BeiDou (DBDS) positioning.

    • Main Results:

    • The PRC modeling system demonstrated a bias error of approximately ±1.0 m and an RMSE less than 1.5 m compared to real PRCs.
    • Horizontal positioning accuracy achieved an RMSE of about 1.0 m using modeled PRCs.
    • Vertical positioning accuracy showed an RMSE between 1.8-3.0 m.

    Conclusions:

    • Modeled PRCs can yield positioning results comparable to those obtained with real PRCs.
    • The developed PRC modeling system significantly enhances positioning accuracy compared to standalone DGNSS without PRCs.
    • This approach offers a viable solution for maintaining DGNSS accuracy in environments with intermittent PRC message availability.