Precision Assessment of Broadcast Ionospheric Model of GNSS Based on Real Data of Base Station

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 341)

Abstract

This paper proposes one method for precision assessment of broadcast ionospheric model of GNSS, performing by using real ionosperic delay as a reference based on base stations. It can decide the amount of ionospheric delay by base stations spread all over the world precisely, then statistic the precision of broadcast ionospheric model of GNSS station by station. As shown in results: the correction percent of broadcast ionospheric model of BDS/GPS/GAL normally is 60 % above, and the RMS is better than 2.0 m. In addition to, the correction percent of BDS is higher than GPS and Galileo, better than 75 % in China.

Keywords

GNSS Broadcast ionospheric model Base station Real ionospheric delay 

References

  1. 1.
    Zhang Q, Li JQ (2005) GPS Measuring principle and application. Science Press, BeijingGoogle Scholar
  2. 2.
    Yuan YB (2002) Study on the theories and methods of correcting ionospheric delay and monitoring ionosphere based on GPS. Institute of Geodesy and Geophysics Chinese Academy of Sciences, WuhanGoogle Scholar
  3. 3.
    Zhang HP (2006) Study on GPS based China regional ionosphere monitoring and ionospheric delay correction. Ph.D. Dissertation, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, ChinaGoogle Scholar
  4. 4.
    Klobuchar J (1987) Ionospheric time delay algorithm for single frequency GPS users. IEEE Trans Aerosp Electron Syst 23(3):321–331Google Scholar
  5. 5.
    Huang YD, Wang MY, Han L et al (2006) The improved Klobuchar ionospheric model based on measurements of China. China Space Science Space Exploration Society of Professional Committee of the Nineteenth Conference, NingboGoogle Scholar
  6. 6.
    BeiDou Navigation Satellite System Signal in Space Interface Control Document. China Satellite Navigation Office, December 2012Google Scholar
  7. 7.
    Wu XL, Hu XG, Wang G (2012) Evaluation of COMPASS ionospheric model in GNSS positioning. Adv Space Res 51(6):959–968Google Scholar
  8. 8.
    Xie J, Zhang B, Hou B et al (2012) Simulation of NeQuick paramerters of Galileo satellite navigation system. Chin J Space Sci 32(6):881–886CrossRefGoogle Scholar
  9. 9.
    Wang J, Dang YM, Xue SQ (2007) Application of a new ionospheric model-NeQuick in China. Sci Surv and Mapp 32(4):38–40Google Scholar
  10. 10.
    Bidaine B, Warnant R (2012) Assessment of the NeQuick model at mid-latitudes using GNSS TEC and ionosonde data. Adv Space Res 45:1122–1128Google Scholar
  11. 11.
    Gao WG, Su MD, Guo SR et al (2014) Testing and evaluation of signal in space accuracy for Beidou navigation satellite system (BDS). CSNC, WuhanGoogle Scholar
  12. 12.
    Li ZS (2012) Study on the Mitigation of Ionospheric Delay and the Monitoring of Global Ionospheric TEC Based on GNSS/Compass. Institute of Geodesy and Geophysics Chinese Academy of Sciences, WuhanGoogle Scholar
  13. 13.
    Li ZS, Yuan YB, Li H et al (2012) Two-step method for the determination of the differential code biases of COMPASS satellites. J Geodesy 86:1059–1076CrossRefGoogle Scholar
  14. 14.
    Li ZS, Yuan YB, Huo XL et al (2012) The manual of GNSS ionospheric data processing software. Institute of Geodesy and Geophysics Chinese Academy of Sciences, WuhanGoogle Scholar
  15. 15.
    Yuan YB, Ou JK (2004) A generalized trigonometric series function model for determining ionospheric delay. Prog Nat Sci 14:1010–1014CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.School of Geology Engineering and SurveyingChang’an UniversityXi’anChina
  2. 2.Xian Research Institute of Surveying and MappingXi’anChina

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