Advertisement

GPS Solutions

, Volume 11, Issue 2, pp 77–83 | Cite as

10 Hz or 10 s?

  • Torben Schüler
Original Article

Abstract

Data sampling frequencies in many kinematic GNSS applications are often in the range of 2–10 Hz or even higher. In contrast, the sampling frequency of standard reference stations is usually not higher than 1 Hz, and many stations even deliver data at sampling intervals as large as 30 s. An easily implemented algorithm for data interpolation will be presented and it will be demonstrated that interpolation of pseudorange and carrier phase reference station data is possible at a high level of accuracy. This technique—which has not received proper attention so far—is helpful to reduce data storage capacity for postprocessing applications, but and can also be beneficial for real-time applications suffering from slow data links. Results of test trials indicate that a standard deviation better than 2 mm can be reached for interpolated carrier phases collected at reference sites sampling data with 5-s intervals in double difference mode. These interpolated double difference data obviously still follow a Gaussian distribution. A trend function for the expected standard deviation of interpolated double difference carrier phase measurements will be presented. From this function, a recommendation for an optimal sampling rate of reference station data can be derived which is close to 10 s.

Keywords

GNSS positioning Data interpolation High-frequency applications 

Notes

Acknowledgments

Reference station data were provided by the IGS and/or EUREF community. This support is acknowledged. The author would also like to thank F. Kneissl for providing valuable corrections as well as the three reviewers of GPS Solutions for their work.

References

  1. Bona P (2000) Precision, cross correlation, and time correlation of GPS phase and code observations. GPS Solutions, vol 4, no 2, Fall 2000, October 23, 2000. Springer, Berlin Heidelberg New York, pp 3–13Google Scholar
  2. Mader GL, Morrison ML (2002) Using interpolation and extrapolation techniques to yield high data rates and ionosphere delay estimates from continuously operating GPS networks. ION GPS 2002, 24–27 September 2002, Portland, OR, pp 2342–2348Google Scholar
  3. Taubenheim J (1969) Statistische Auswertung geophysikalischer und meteorologischer Daten. Akademische Verlagsgesellschaft Geest & Portig, LeipzigGoogle Scholar
  4. Wanninger L (2000) Interpolation von GPS-Beobachtungen. Allgemeine Vermessungs-Nachrichten (AVN), vol 10/2000, 107:360–363Google Scholar
  5. Wickert J, Galas R, Beyerle G, König R, Reigber Ch (2001) GPS ground station data for CHAMP radio occultation measurements. Phys Chem. Earth (A) 26(6–8):503–511CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  1. 1.Institute of Geodesy and NavigationUniversity of the Federal Armed Forces MunichNeubibergGermany

Personalised recommendations