Towards More Reliable Estimation of GPS Positioning Accuracy

  • J. Krynski
  • Y.M. Zanimonskiy
Part of the International Association of Geodesy Symposia book series (IAG SYMPOSIA, volume 128)


Uncertainty of vector components estimation, obtained from processing GPS data using either commercial or scientific software, represents rather an internal consistency than the accuracy of positioning. Short period biases, including non-modelled effects, some with unstable amplitudes, that affect GPS solutions are as systematic-type terms not reflected in uncertainty estimation. Therefore, calculated uncertainty is usually much too optimistic as the accuracy estimate. In the routine GPS data processing one observing session provides a single solution. Data that form such observing session can be represented by a series of overlapped sessions. Comparison of solutions obtained from processing overlapped sessions leads to more reliable accuracy estimation than the one based on uncertainty estimation of individual solutions. The strategy of GPS solutions quality analysis based on the concept of overlapping sessions with optimum length and temporal resolution is presented. The strategy was verified with use of data from the EPN stations processed with both Bernese and Pinnacle software packages.


Global Positioning System (GPS) Positioning accuracy Statistical analysis Spectral analysis 


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  1. Bruyninx C., (2001): Overview of the EUREF Permanent Network and the Network Coordination Activities, EUREF Publ., Eds. J. Torres, H. Hornik, Bayer. Akad. der Wies., München, Germany, 2001, No 9, pp. 24–30.Google Scholar
  2. Gandolfi S., Gusella L., Perfetti N., Dubbini M., (2003): Accuracy and precision vs software and different conditions using Italian GPS fiducial network (IGFN) data, Reports on Geodesy, WUT, Warsaw, No 2(65) 2003, pp 65–71.Google Scholar
  3. Harris F.J., (1978): On the Use of Windows for Harmonic Analysis with the Discrete Fourier Transform, Proc. IEEE, Vol. 66, January 1978, pp. 51–83.CrossRefGoogle Scholar
  4. King M., Coleman R., Nguyen L.N., (2003): Spurious Periodic Horizontal Signals in Sub-Daily GPS Position Estimates, J of Geod., Vol. 77, Nr 1–2, May 2003, pp. 15–21.CrossRefGoogle Scholar
  5. Krynski J., Zanimonskiy Y.M., Wielgosz P., (2000): Short Time Series Analysis of Precise GPS Positioning, Presented at the XYXV Gen. Assembly of EGS, Nice, France, 25–29 April 2000.Google Scholar
  6. Krynski J., Cisak J., Zanimonskiy Y.M., Wielgosz P., (2002a): Variations of GPS Solutions for Positions of Permanent Stations — Reality or Artefact, EUREF Publ. No 12, Mitteilungen des Bundesamtes für Kart. und Geodäsie, Frankfurt am Main, Band 29, pp. 320–325.Google Scholar
  7. Krynski J., Zanimonskiy Y.M., Wielgosz P., (2002b): Modelling biases in GPS Positioning Based on Short Observing Sessions, Presented at the XXVII Gen. Assembly of EGS 2002, Nice, France, 21–26 April 2002.Google Scholar
  8. Krynski J., Zanimonskiy Y.M., (2002): Quality Structure of Time Series of GPS Solutions, Proc. of the NKG Gen. Assembly, 1–5 Sept. 2002, Espoo, Finland, pp. 259–264.Google Scholar
  9. Neumeyer J., Barthelmes F., Combrink L., Dierks O., Fourie P., (2002): Analysis of Results from the SG Registration with the Dual Sphere Supercon-ducting Gravimeter at SAGOS (South Africa), BIM 135, 15 July 2002, Paris, pp. 10607–10616.Google Scholar
  10. Poutanen M., Koivula H., Ollikainen M., (2001): On the Periodicity of GPS Time Series, Proc. of lAG 2001 Sc. Assembly, 2–7 Sept. 2001, Budapest, Hungary.Google Scholar
  11. Teunissen P.J.G., (2002): The Parameter Distributions of the Integer GPS Model, J. of Geod., Vol. 76, Nr 1, January 2002, pp. 44–48.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • J. Krynski
    • 1
  • Y.M. Zanimonskiy
    • 1
  1. 1.Institute of Geodesy and CartographyWarsawPoland

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