Abstract

The broadcast ionospheric model is mainly used to correct the ionospheric delay error for single-frequency users. Since the BeiDou global ionospheric delay correction model (BDGIM) is a novel broadcast ionospheric model for BDS-3, its performance was analyzed through single point positioning (SPP) in this study. Twenty-two stations simultaneously receiving B1C, B2a, B1I and B3I signals were selected from the International GNSS Service (IGS) and the International GNSS Monitoring and Assessment System (iGMAS) tracking networks for the SPP experiments. The differential code bias (DCB) parameters were used to correct the hardware delays in the signals of B1C and B2a. The results showed that the BDGIM performs the best in high-latitude areas, and can effectively improve the positioning accuracy compared with the Klobuchar model. The average 3D positioning accuracy of the four civil signals can reach 3.58 m in high-latitude areas. The positioning accuracies with the BDGIM in the northern hemisphere are better than those in the southern hemisphere, and the global average 3D positioning accuracy of the four civil signals is 4.60 m. The performance of the BDGIM also shows some seasonal differences. The BDGIM performs better than the Klobuchar model on the days of spring equinox and winter solstice, while the opposite is true on the days of summer solstice and autumn equinox. On the day of winter solstice, the average 3D accuracies with the BDGIM on the signals of B1C, B2a, B1I and B3I are 4.13 m, 5.32 m, 4.40 m and 4.49 m, respectively. Although the SPP accuracies are to some extent affected by the geomagnetic storm, the BDGIM generally performs better and are more resistant to the geomagnetic storm than the Klobuchar model.

Highlights

  • Ionosphere is one of the main error sources affecting the signals of global navigation satellite system (GNSS), and the magnitude of ionospheric effects could reach tens of meters [1,2]

  • The global performances of single point positioning (SPP) with the four BDS civil signals were investigated, and the SPP results with the BeiDou global ionospheric delay correction model (BDGIM), the BDS Klobuchar model and the global ionospheric map (GIM) were compared

  • For all of the four signals, the best average accuracies of SPP with the BDGIM are achieved at the high-latitude stations, while the opposite is true with the Klobuchar model

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Summary

Introduction

Ionosphere is one of the main error sources affecting the signals of global navigation satellite system (GNSS), and the magnitude of ionospheric effects could reach tens of meters [1,2]. The initial performance assessment by Yuan et al [8] shows that the BDGIM is able to mitigate the ionospheric errors by 80.9% in China and by 77.6% on the global scale, outperforming both the GPS Klobuchar model and the NeQuick Galileo model. Perspective, we compare the different ionospheric models, and pay intensive attention on the applicability of the BDGIM to all the four civil signals of BDS After this introduction section, the algorithm of ionospheric correction with the BDGIM is introduced, and the data processing strategies are described in detail. The performances of SPP with the four civil signals of BDS-3 are analyzed, and the BDGIM are compared with the BDS Klobuchar model and the global ionosphere maps (GIM).

The Mathematical Model of SPP with the BDGIM
Observation Equation of SPP
Correction of Hardware Delay
Algorithm of the BDGIM
Processing
Data Selection
Results
Global Positioning Accuracies
Positioning Accuracies in Different Seasons
The average
10. The time series errors at the station
Conclusions and Discussion

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