Ionosphere monitoring and GNSS correction by a real-Time ionospheric tomography system in Japan

Susumu Saito, Mamoru Yamamoto, Chia Hun Chen, Akinori Saito

研究成果: Conference contribution

摘要

3-D ionospheric tomography by using measurements of ground GNSS networks is a powerful tool to investigate ionospheric behavior. Recently, a real-Time 3-D ionosphere tomography system has been developed [1] to reconstruct 3-D ionospheric density profiles over Japan. 3-D ionospheric density profiles over Japan estimated by a real-Time 3-D tomography system, which is available from March 2016 were used to generate ionospheric correction for single-frequency stand-Alone positioning. On both magnetic quiet and disturbed days (14 November 2017 and 25 October 2017, respectively), stand-Alone positioning corrected by real-Time tomography resulted in mean vertical errors equivalent to those of dual-frequency positioning. The RMS vertical errors of stand-Alone positioning corrected by real-Time tomography were better than those of dual-frequency positioning and equivalent to those of uncorrected single-frequency positioning. More analysis on data sets at different location, in different seasons, and in different magnetic conditions are planned. Although there is no specific plan, it is also interesting to apply the same method to other locations where GNSS receiver networks with the similar receiver density as used in this study.

原文English
主出版物標題30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017
發行者Institute of Navigation
頁面3434-3440
頁數7
ISBN(電子)9781510853317
DOIs
出版狀態Published - 2017
事件30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017 - Portland, United States
持續時間: 2017 9月 252017 9月 29

出版系列

名字30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017
5

Other

Other30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017
國家/地區United States
城市Portland
期間17-09-2517-09-29

All Science Journal Classification (ASJC) codes

  • 軟體
  • 電腦科學應用
  • 電氣與電子工程

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