Application of Independently Estimated DCB and Ionospheric TEC in Single-Frequency PPP

  • Wenfeng NieEmail author
  • Wusheng Hu
  • Shuguo Pan
  • Shengli Wang
  • Xuhui Jin
  • Bin Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 304)


Precise Point Positioning technology is one of the most interesting research topics within the GNSS positioning and navigation community in the last decade for a number of reasons: simplified operation, cost-effectiveness and no base stations required. With the availability of dual-frequency receivers and precise GPS products, PPP has demonstrated capable of providing centimeter to decimeter level point positioning accuracy globally. As for single-frequency PPP, the accuracy deceases, particularly in the height component. One dominant factor for this degradation is the effect of unmodeled ionospheric delay. This paper investigates PPP technique using single-frequency data as single-frequency receivers are the most widely used tools for tracking, navigation and geo-referencing. Since the unmodeled ionospheric error is the biggest error source for a single-frequency receiver based on PPP system, an ionospheric error mitigation method named POLY model based on GPS regional reference station network is introduced for the reason that it can provide independent DCB and ionospheric TEC. In addition, three other different methods, as the Klobuchar model, the GIM model and the GRAPHIC algorithm, are assessed and their accuracy compared. Numerical results show that the POLY method offers better performance than GIM method, which is able to provide approximately 0.5 m point accuracy for static positioning over 24 h observation period.


DCB TEC Ionospheric error Single-frequency PPP 



This work was supported by Key Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period.(2012BAJ23B01). The authors are very grateful to the anonymous reviewers for their constructive comments and suggestions.


  1. 1.
    Zumberge JF, Heflin MB, Jefferson DC, Watkins MM, Webb FH (1997) Precise point positioning for the efficient and robust analysis of GPS data from large networks. J Geophys Res 102(B3):5005–5017CrossRefGoogle Scholar
  2. 2.
    Kouba J, Héroux P (2001) Precise point positioning using IGS orbit and clock products. GPS Solutions 5(2):12–28CrossRefGoogle Scholar
  3. 3.
    Wyllie S, Zhang K, Talbot N (2006) An analysis of the temporal correlation of the ionospheric bias affecting GPS carrier phase observations. In: Proceedings of IGNSS symposium. Holiday Inn Surfers Paradise, Australia, pp 17–21 July (79)Google Scholar
  4. 4.
    Chen KZ, Gao Y (2005) Real-time precise point positioning using single frequency data. In: Proceedings of ION GNSS-2005, pp 1514–1523Google Scholar
  5. 5.
    Choy S, Zhang K, Silcock D (2008) An evaluation of various ionospheric error mitigation methods used in single frequency PPP. J Global Position Syst 7(1):62–71CrossRefGoogle Scholar
  6. 6.
    Yuan YB, Huo XL, Ou JK (2007) Models and methods for precise determination of ionospheric delay using GPS. Prog Nat Sci 17(2):187–196CrossRefGoogle Scholar
  7. 7.
    Øvstedal O (2002) Absolute positioning with single-frequency GPS receivers. GPS Solutions 5(4):33–44CrossRefGoogle Scholar
  8. 8.
    Klobuchar JA (1987) Ionospheric time-delay algorithm for single-frequency GPS users. IEEE Trans Aerosp Electron Syst 3:325–331CrossRefGoogle Scholar
  9. 9.
    Schaer S (1999) Mapping and predicting the Earth’s ionosphere using the Global Positioning System. Geod Geophys Arb Schweiz 59:59Google Scholar
  10. 10.
    Yunck TP (1993) Coping with the atmosphere and ionosphere in precise satellite and ground positioning. Geophys Monogr Ser 73:1–16Google Scholar
  11. 11.
    Montenbruck O (2003) Kinematic GPS positioning of LEO satellites using ionosphere-free single frequency measurements. Aerosp Sci Technol 7(5):396–405CrossRefGoogle Scholar
  12. 12.
    Fedrizzi M, Eurico R, Paula D, Ivan JK, Richard BL, Marcelo CS, Komjathy A (2002) Innovation-mapping the low-latitude ionosphere with GPS. GPS World 13(2):41–47Google Scholar
  13. 13.
    Kouba J (2009) A guide to using International GNSS Service (IGS) products. Unpublished
  14. 14.
    Kleusberg A, Teunissen PJG (1996) GPS for Geodesy. In: Lecture notes in earth sciences. Springer, Berlin, p 60Google Scholar
  15. 15.
    Zhang HP, Shi C, Tang WM (2008) United solution to polynomial VTEC modeling and DCB analysis using ground-based GPS observations. Geomat Inf Sci Wuhan Univ (in Chinese) 33(8):805–809Google Scholar
  16. 16.
    Schaer S, Werner G, Joachim F (1998) IONEX: the ionosphere map exchange format version 1. In: Proceedings of the IGS AC workshop, Darmstadt, Germany, vol 9, no 11Google Scholar
  17. 17.
    Komjathy A (1997) Global ionospheric total electron content mapping using the Global Positioning System. PhD dissertation, University of New BrunswickGoogle Scholar
  18. 18.
    Yuan YB, Ou JK (2004) A generalized trigonometric series function model for determining ionospheric delay. Prog Nat Sci 14(11):1010–1014Google Scholar
  19. 19.
    Coco DS, Clayton C, Scott RD, James RC (1991) Variability of GPS satellite differential group delay biases. IEEE Trans Aerosp Electron Syst 27(6):931–938CrossRefGoogle Scholar
  20. 20.
    Wilson B, Anthony M (1994) Extracting ionospheric measurements from GPS in the presence of anti-spoofing. In: Proceedings of the 7th international technical meeting of the satellite division of the institute of navigation, ION GPS-94, Alexandria, VA. vol. 2, pp. 1599–1608, 20–23 SeptemberGoogle Scholar
  21. 21.
    Gao Y, Liao XQ, Liu ZZ (2002) Ionosphere modelling using carrier smoothed ionosphere observations from a regional GPS network. Geomatica 56(2):97–106Google Scholar
  22. 22.
    Zhang HP, Han WH, Huang L, Geng CJ (2012) Modeling global ionospheric delay with IGS ground-based GNSS observations. Geomat Inf Sci Wuhan Univ 37(10):1186–1189Google Scholar
  23. 23.
    Jefferson DC, Michael BH, Ronald JM (2001) Examining the C1-P1 pseudorange bias. GPS Solutions 4(4):25–30CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Wenfeng Nie
    • 1
    Email author
  • Wusheng Hu
    • 1
  • Shuguo Pan
    • 2
  • Shengli Wang
    • 2
  • Xuhui Jin
    • 1
  • Bin Wang
    • 1
  1. 1.School of Transportation of Southeast UniversityNanjingChina
  2. 2.Instrument Science and Engineering InstituteNanjingChina

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