Improving GNSS PPP Convergence: The Case of Atmospheric-Constrained, Multi-GNSS PPP-AR
1Department of Earth and Space Science and Engineering, York University, Toronto, ON M3J 1P3, Canada. jeaggrey@yorku.ca.
Sensors (Basel, Switzerland)
|February 2, 2019
Summary
Constraining the atmosphere significantly improves Global Navigation Satellite System (GNSS) Precise Point Positioning (PPP) convergence time, especially for dual-frequency solutions. This advancement brings multi-GNSS PPP closer to Real-Time Kinematic (RTK) performance.
Area of Science:
- Geodesy and Satellite Navigation
- Atmospheric Modeling for GNSS
Background:
- Global Navigation Satellite System (GNSS) positioning accuracy is enhanced by incorporating Global Ionospheric Maps (GIMs) and tropospheric zenith path delays.
- While atmospheric constraints improve initial convergence in Precise Point Positioning (PPP), their long-term impact on solution quality is less apparent.
Purpose of the Study:
- To investigate the benefits of atmospheric constraints in multi-frequency GNSS PPP.
- To assess how multi-GNSS PPP with Attitude and Receiver-independent Exchange (AR) approaches Real-Time Kinematic (RTK) performance in terms of time and position accuracy.
Main Methods:
- Conceptual analysis of atmospheric GNSS PPP constraints.
- Investigation of dual- and triple-frequency PPP scenarios.
- Evaluation of convergence time improvements with atmospheric constraints.
Main Results:
- Atmospheric constraints significantly improve PPP initialization and solution convergence within the first few minutes.
- Over 60% improvement in convergence time was observed for dual-frequency multi-GNSS PPP-AR solutions with atmospheric constraints.
Conclusions:
- Constraining the atmosphere offers substantial benefits for multi-frequency GNSS PPP, particularly in reducing convergence times.
- Future research will focus on applying these constraints to enhance low-cost PPP solutions.
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