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Evaluation of EGNOS Tropospheric Delay Model in South-Eastern Europe

Published online by Cambridge University Press:  12 March 2009

Tomislav Kos ,
Maja Botincan  and
Ivan Markezic
Tomislav Kos*
Affiliation:
(Faculty of Electrical Engineering and Computing, University of Zagreb)
Maja Botincan
Affiliation:
(Faculty of Electrical Engineering and Computing, University of Zagreb)
Ivan Markezic
Affiliation:
(Faculty of Traffic and Transport Sciences, University of Zagreb)
*
(Email: tomislav.kos@fer.hr)
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Abstract

The troposphere affects electromagnetic signal propagation causing signal path bending and the alteration of the electromagnetic wave velocity. Tropospheric delay can introduce a considerable error in satellite positioning if it is not properly estimated. The GPS signal delay can vary from 2 to 20 m depending on the elevation angles between the receiver and the satellite. Two basic types of delay prediction models exist. The first use surface meteorological parameters to estimate the value of the tropospheric delay, and the other models that do not require real-time meteorological input use average and seasonal variation data related to the receiver's latitude and day-of-year. This paper compares the performance of both types of model over a period of one year, comprising all seasons, to verify their accuracy over a longer period. The Saastamoinen model, known as one of the best performing prediction models, was taken as a reference and the global EGNOS model was used to check how the global estimates of the yearly averages of the meteorological parameters and their related seasonal variations comply with the real-time surface parameters.

Keywords

Tropospheric delaySaastamoinen modelHopfield modelEGNOS model
Type
Research Article
Information
The Journal of Navigation , Volume 62 , Issue 2 , April 2009 , pp. 341 - 349
Copyright
Copyright © The Royal Institute of Navigation 2009

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References

REFERENCES

Cove, K. M., Santos, M., Wells, D., Bisnath, S. (2004). Improved Tropospheric Delay Estimation for Long Baseline, Carrier-Phase Differential GPS Positioning in a Coastal Environment, Proceedings on Institute of Navigation GNSS 2004, Long Beach, California, USA.Google Scholar
Cove, K. (2005). Improvements in GPS Tropospheric Delay Estimation with Numerical Weather Prediction. M.Sc.E. thesis, Department of Geodesy and Geomatics Engineering Technical Report No. 230, University of New Brunswick, Fredericton, New Brunswick, Canada, 98 pp.Google Scholar
Farah, A., Moore, T., Hill, C. (2005). High Spatial Variation Tropospheric Model for GPS-Data Simulation, The Journal of Navigation, 58, 459–470.CrossRefGoogle Scholar
Haase, J., Ge, M., Vedel, H., Calais, E. (2002). Accuracy and variability of GPS Tropospheric Delay Measurements of Water Vapor in the Western Mediterranean, Submitted to Bull. American Meteorological Society.Google Scholar
Markezic, I., Filjar, R., Juricic, I. (2000). Time Distribution of the GPS Signal Tropospheric Delay during Passage of the Warm Front, Proc. 2nd Congress Transport Traffic Logistics, Portoroz, Slovenia, 345–348.Google Scholar
Mendes, V. B., Collins, J. P., Langley, R. B. (1995). The Effect of Tropospheric Propagation Delay Errors in Airborne GPS Precision Positioning, ION GPS-95. 8th International Technical Meeting of the Satellite Division of the Institute of Navigation, Palm Springs, CA.Google Scholar
Musa, T. A., Wang, J., Rizos, C., Lee, Y., Mohamed, A. (2004). Mitigating Residual Tropospheric Delay to Improve User's Network-Based Positioning. The International Symposium on GNSS/GPS, Sydney, Australia.Google Scholar
Penna, N. et al. (2001). Assessment of EGNOS Tropospheric Correction Model. The Journal of Navigation, 54, 37–55.Google Scholar
Ueno, M., Hoshinoo, K., Matsunaga, K., Kawai, M., Nakao, H., Langley, R. B., Bisnath, S. B. (2001). Assessment of Atmospheric Delay Correction Models for the Japanese MSAS, ION GPS 2001, Salt Lake City, UT, 2341–2350.Google Scholar