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Single-Frequency Precise Point Positioning Using Regional Dual-Frequency Observations.

Junping Zou1, Ahao Wang2, Jiexian Wang1

  • 1College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China.

Sensors (Basel, Switzerland)
|April 30, 2021
PubMed
Summary

Dual-frequency observations enhance single-frequency precise point positioning (SF-PPP) to centimeter-level accuracy. Introducing double-differenced (DD) ambiguity resolutions further improves SF-PPP accuracy and reduces convergence time for applications like deformation monitoring.

Keywords:
global positioning systemionosphere delayprecise point positioningsingle-frequency positioning

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Area of Science:

  • Geodesy and Geomatics
  • Satellite Navigation Systems

Background:

  • Single-frequency precise point positioning (SF-PPP) is crucial for Global Navigation Satellite System (GNSS) applications.
  • Improving SF-PPP accuracy and convergence time is an ongoing challenge.

Purpose of the Study:

  • To enhance SF-PPP accuracy and reduce convergence time using dual-frequency observations and double-differenced (DD) ambiguity resolutions.
  • To investigate the impact of DD ambiguity resolutions on SF-PPP performance.

Main Methods:

  • Utilizing dual-frequency GNSS observations to derive precise ionosphere delay for SF-PPP.
  • Introducing double-differenced (DD) ambiguity resolutions to avoid fractional cycle bias (FCB) estimation in SF-PPP.
  • Processing data from six stations in Shanghai, China, and comparing SF-PPP results with DD algorithm-based relative positioning.

Main Results:

  • Dual-frequency enhanced SF-PPP achieved centimeter-level positioning accuracy.
  • The DD algorithm showed slightly better relative positioning accuracy compared to dual-frequency enhanced SF-PPP.
  • The proposed method integrating DD ambiguity into SF-PPP improved positioning accuracy and shortened convergence time.

Conclusions:

  • Dual-frequency observations significantly enhance SF-PPP performance.
  • Integrating DD ambiguity resolutions offers a viable approach to further improve SF-PPP accuracy and efficiency.
  • The enhanced SF-PPP method has potential for improved deformation monitoring capabilities.