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Title: Feasibility analysis of GNSS-based ionospheric observation on a fast-moving train platform (GIFT)
Authors: Yu, S 
Liu, Z 
Issue Date: 2021
Source: Satellite navigation, 2021, v. 2, 20
Abstract: The ionospheric effect plays a crucial role in the radio communications. For ionospheric observing and monitoring, the Global Navigation Satellite System (GNSS) has been widely utilized. The ionospheric condition can be characterized by the Total Electron Contents (TEC) and TEC Rate (TECR) calculated from the GNSS measurements. Currently, GNSS-based ionospheric observing and monitoring largely depend on a global fiducial network of GNSS receivers such as the International GNSS Service (IGS) network. We propose a new approach to observe the ionosphere by deploying a GNSS receiver on a Hong Kong Mass Transit Railway (MTR) train. We assessed the TECR derived from the MTR-based GNSS receiver by comparing it with the TECR derived from a static GNSS receiver. The results show that the Root-Mean-Squares (RMS) errors of the TECR derived from the MTR-based GNSS receiver is consistently approximately 23% higher than that derived from the static GNSS receiver. Despite the increased error, the findings suggest that the GNSS observation on a fast-moving platform is a feasible approach to observe the ionosphere over a large region in a rapid and cost-effective way. © 2021, The Author(s).
Keywords: Global navigation satellite system (GNSS)
Total electron contents (TEC)
TEC rate (TECR)
Fast-moving train platform
Publisher: SpringerOpen
Journal: Satellite navigation 
EISSN: 2662-1363
DOI: 10.1186/s43020-021-00051-1
Rights: © The Author(s) 2021.
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
The following publication Yu, S., Liu, Z. Feasibility analysis of GNSS-based ionospheric observation on a fast-moving train platform (GIFT). Satell Navig 2, 20 (2021) is available at https://doi.org/10.1186/s43020-021-00051-1.
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