Preliminary Performance Evaluation of BeiDou Global Ionospheric Delay Correction Model

ZHOU Renyu1 HU Zhigang1 SU Mudan2 LI Junzheng3 LI Pengbo1 ZHAO Qile1

(1.GNSS Research Center, Wuhan University, Wuhan, Hubei Province, China 430079)
(2.Beijing Institute of Tracking and Telecommunication Technology, Beijing, China 100094)
(3.Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, Henan Province, China 450002)

【Abstract】The BeiDou global navigation system was officially launched in 2017 and will adopt a new BeiDou global ionospheric delay correction model (BDGIM). Using high-precision grid ionospheric data released by CODE and the ionospheric delay derived from dual-frequency observations as a reference, we analyzed and evaluated the accuracy of the BDGIM model and compared it with that of the BeiDou Klobuchar and GPS Klobuchar models. The results show that in the region of China, the BDGIM model and the BeiDou Klobuchar model are comparable in accuracy and superior to the GPS Klobuchar model. On a global scale, the accuracy of the BDGIM model is better than that of the BeiDou Klobuchar and the GPS Klobuchar models. Different ionospheric models are implemented for single point positioning. The results show that the BDGIM model has a 13% improvement over the positioning accuracy of the BeiDou Klobuchar model, and a 7%–10% improvement over the GPS Klobuchar model.

【Keywords】 BeiDou-3; BDGIM; BeiDou Klobuchar; GPS Klobuchar; single point positioning;

【DOI】

【Funds】 National Natural Science Foundation of China (41604029, 41574027, 41574030)

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    References

    [1] Li Zhenghang, Huang Jinsong. GPS Surveying and Data Processing [M]. Wuhan: Wuhan University Press, 2010 (in Chinese).

    [2] Klobuchar J A. Ionospheric Time-Delay Algorithm for Single-Frequency GPS Users [J]. IEEE Transactions on Aerospace and Electronic Systems, 1987, 23 (3): 325–331.

    [3] Bertram A R. The Galileo Single Frequency Ionospheric Correction Algorithm [M]. Belin: Spring, 2006.

    [4] CSNO. BeiDou Navigation Satellite System Signal in Space Interface Control Document (Open Service Signal (Version 2.1) [R]. Beijing: China Satellite Navigation Office, 2016.

    [5] Zhang Qiang, Zhao Qile, Zhang Hongping, et al. Evalution on the Precision of Klobuchar Model for BeiDou Navigation Satellite System [J]. Geomatics and Information Science of Wuhan University, 2014, 39 (2): 142–146 (in Chinese).

    [6] Luo W H, Liu Z Z, Li M. A Preliminary Evaluation of the Performance of Multiple Ionospheric Models in Low-and Mid-latitude Regions of China in 2010–2011 [J]. GPS Solutions, 2014, 18 (2): 297–308.

    [7] Wang Zemin, Bi Tong, Sun Wei, et al. Analysis of Global Navigation Satellite System Broadcast Ionspheric Model Correction in Polar Regions [J]. Chinese Journal of Polar Research, 2016, 28 (2): 235–242 (in Chinese).

    [8] CSNO. BeiDou Navigation Satellite System signal in Space Interface Control Document Open Service Signal BIC and B2a(Test Version) [R]. Beijing: Chian Satellite Navigation Office, 2017.

    [9] Wang Ningbo. Study on GNSS Differential Code Biases and Global Broadcast Ionospheric Model of GPS, Galileo and BDS [D]. Wuhan: Institute of Geodesy and Geophysic, Chinese Academy of Sciences, 2016 (in Chinese).

    [10] Hu Zhigang. BeiDou Navigation Satellite System Performance Assessment Theory and Experimental Verification [D]. Wuhan: Wuhan University, 2013 (in Chinese).

    [11] Mamoru S, Tetsuro K, Eiji K, et al. Evaluation of GPS-based Ionospheric TEC Map by Comparing with VLBI Data [J]. Radio Science, 2003, 38 (4): 8-1–8-5.

    [12] Xiong B, Wan W X, Yu Y, et al. Investigation of Ionospheric TEC over China Based on GNSS Data [J]. Advances in Space Research, 2016, 58 (6): 867–877.

    [13] Wu X L, Hu X G, Wang G, et al. Evaluation of COMPASS Ionospheric Model in GNSS Positioning [J]. Advances in Space Research, 2013, 51 (6): 959–968.

This Article

ISSN:1671-8860

CN: 42-1676/TN

Vol 44, No. 10, Pages 1457-1464

October 2019

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Article Outline

Abstract

  • 1 BeiDou global ionospheric delay correction model
  • 2 Data sources and evaluation method for ionospheric model
  • 3 Preliminary evaluation results of BDGIM model’s performance
  • 4 Conclusion
  • References