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Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS

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 acc...

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Autores principales: Ren, Xiaodong, Zhang, Xiaohong, Xie, Weiliang, Zhang, Keke, Yuan, Yongqiang, Li, Xingxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024168/
https://www.ncbi.nlm.nih.gov/pubmed/27629988
http://dx.doi.org/10.1038/srep33499
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author Ren, Xiaodong
Zhang, Xiaohong
Xie, Weiliang
Zhang, Keke
Yuan, Yongqiang
Li, Xingxing
author_facet Ren, Xiaodong
Zhang, Xiaohong
Xie, Weiliang
Zhang, Keke
Yuan, Yongqiang
Li, Xingxing
author_sort Ren, Xiaodong
collection PubMed
description 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.
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spelling pubmed-50241682016-09-20 Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS Ren, Xiaodong Zhang, Xiaohong Xie, Weiliang Zhang, Keke Yuan, Yongqiang Li, Xingxing Sci Rep Article 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. Nature Publishing Group 2016-09-15 /pmc/articles/PMC5024168/ /pubmed/27629988 http://dx.doi.org/10.1038/srep33499 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ren, Xiaodong
Zhang, Xiaohong
Xie, Weiliang
Zhang, Keke
Yuan, Yongqiang
Li, Xingxing
Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS
title Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS
title_full Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS
title_fullStr Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS
title_full_unstemmed Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS
title_short Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS
title_sort global ionospheric modelling using multi-gnss: beidou, galileo, glonass and gps
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024168/
https://www.ncbi.nlm.nih.gov/pubmed/27629988
http://dx.doi.org/10.1038/srep33499
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