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Published on: June 25, 2021
Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS
Xiaodong Ren1,2, Xiaohong Zhang1, Weiliang Xie1
1School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, 430079, Wuhan, Hubei, China.
Global navigation satellite systems (GNSS) like GPS, GLONASS, BeiDou, and Galileo enhance ionospheric mapping. Multi-GNSS data improves Global Ionospheric Maps (GIMs), boosting positioning accuracy and monitoring capabilities.
Area of Science:
- Geodesy
- Space Physics
- Satellite Navigation
Background:
- The proliferation of Global Navigation Satellite Systems (GNSS) beyond GPS, including GLONASS, BeiDou, and Galileo, has increased the density of ionospheric piercing points (IPPs).
- This increased IPP coverage presents significant opportunities for developing high-resolution Global Ionospheric Maps (GIMs).
- Improved GIMs are crucial for enhancing the accuracy of positioning services and advancing ionospheric monitoring.
Purpose of the Study:
- To develop and evaluate Global Ionospheric Maps (GIMs) using multi-GNSS observations.
- To analyze the performance and contribution of integrating multiple satellite constellations (GPS, GLONASS, BeiDou, Galileo) for ionospheric modeling.
- To assess the impact of multi-GNSS GIMs on single-frequency precise point positioning (SF-PPP) accuracy.
Main Methods:
- Processing multi-GNSS observations from over 300 stations across the Multi-GNSS Experiment (MGEX) and International GNSS Service (IGS) networks over two months.
- Developing GIMs based on combined data from GPS, GLONASS, BeiDou, and Galileo.
- Analyzing Differential Code Biases (DCBs) as by-products of the multi-GNSS ionosphere modeling process.
Main Results:
- Multi-GNSS GIM products demonstrate superior performance compared to GPS-only GIM products.
- Satellite DCB standard deviations were 0.06 ns (GPS), 0.10 ns (GLONASS), 0.18 ns (BeiDou), and 0.15 ns (Galileo).
- Receiver DCB standard deviations ranged from approximately 0.2 to 0.4 ns.
- Single-frequency precise point positioning (SF-PPP) results showed improved ionospheric modeling accuracy with multi-GNSS GIMs compared to dual-system GIMs in specific regions.
Conclusions:
- Integrating multi-GNSS observations significantly enhances the accuracy and resolution of Global Ionospheric Maps.
- The developed multi-GNSS GIMs provide a more robust foundation for ionospheric monitoring and precise positioning applications.
- The study confirms the benefits of multi-constellation GNSS for ionospheric modeling and its positive impact on single-frequency positioning accuracy.
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