Abstract
The emergence of China’s Beidou, Europe’s Galileo and Russia’s GLONASS satellites has multiplied the number of ionospheric piercing points (IPP) offered by GPS alone. This provides great opportunities for deriving precise global ionospheric maps (GIMs) with high resolution to improve positioning accuracy and ionospheric monitoring capabilities. In this paper, the GIM is developed based on multi-GNSS (GPS, GLONASS, BeiDou and Galileo) observations in the current multi-constellation condition. The performance and contribution of multi-GNSS for ionospheric modelling are carefully analysed and evaluated. Multi-GNSS observations of over 300 stations from the Multi-GNSS Experiment (MGEX) and International GNSS Service (IGS) networks for two months are processed. The results show that the multi-GNSS GIM products are better than those of GIM products based on GPS-only. Differential code biases (DCB) are by-products of the multi-GNSS ionosphere modelling, the corresponding standard deviations (STDs) are 0.06 ns, 0.10 ns, 0.18 ns and 0.15 ns for GPS, GLONASS, BeiDou and Galileo, respectively in satellite, and the STDs for the receiver are approximately 0.2~0.4 ns. The single-frequency precise point positioning (SF-PPP) results indicate that the ionospheric modelling accuracy of the proposed method based on multi-GNSS observations is better than that of the current dual-system GIM in specific areas.
Highlights
(approximately 100 stations from the Multi-GNSS Experiment (MGEX) networks provided with Global Positioning System (GPS)/GLONASS/Galileo/BeiDou observations and approximately 200 stations equipped with dual- or triple-frequency receivers from the International GNSS Service (IGS) networks capable of tracking GPS or GLONASS satellites) were selected
By using 60 days of data (DOY 141 to 200, 2015) from the MGEX and IGS networks, we first analysed and compared the ionospheric piercing points (IPP) distribution and accuracy of the ionospheric observables obtained from different systems
The results showed that the IPP distributions of GPS and GLONASS have a good global coverage
Summary
Differential code biases (DCB) are by-products of the multi-GNSS ionosphere modelling, the corresponding standard deviations (STDs) are 0.06 ns, 0.10 ns, 0.18 ns and 0.15 ns for GPS, GLONASS, BeiDou and Galileo, respectively in satellite, and the STDs for the receiver are approximately 0.2~0.4 ns. We develop a global ionospheric model using multi-GNSS (GPS, GLONASS, BeiDou and Galileo) observations and assess its performance and accuracy.
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