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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-5024168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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