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IV Hotine-Marussi Symposium on Mathematical Geodesy pp 172–180Cite as

Error Detection in GPS Observations by Means of Multi-Process Models

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Part of the book series: International Association of Geodesy Symposia ((IAG SYMPOSIA,volume 122))

Abstract

The main purpose of this article is to present the idea of using Multi-process models as a method of detecting errors in GPS observations.

The theory behind Multi-process models, and. double differenced phase observations in GPS is presented shortly.

It is shown how to model cycle slips in the Multi-process context by means of a simple simulation. The simulation is used to illustrate how the method works, and it is concluded that the method deserves further investigation.

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References

  • Gammelgaard, S., Milsgaard, M., and Mortensen, R. (1995). Monitoring by using Dynamical Linear Models-illustrated by tumor markers for cancer. Master’s thesis, Aalborg University. 180

    Google Scholar 

  • Parkinson, B. and Spilker Jr., J. (1996). Global positioning system: Theory and Applications, Volume 2. In Parkinson, B. and Spilker Jr., J., editors, Progress in Astronautics and Aeronautics, volume 163.

    Google Scholar 

  • Sansò, F. and Venuti, G. (1997). Integer variables estimation problems: the Bayesan approach. ANNALI DI GEOFISICA, XL(5):1415–1431.

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  • Strang, G. and Borre, K. (1997). Linear Algebra, Geodesy, and GPS. Wellesley-Cambridge Press.

    Google Scholar 

  • Teunisen, P., de Jonge, P., and Tiberius, C. (1997). Performance of the LAMBDA Method for Fast GPS Ambiguity Resolution. Navigation: Journal of The Institute of Navigation, 44(3).

    Google Scholar 

  • West, M. and Harrison, J. (1997). Bayesan Forecasting and Dynamic Models. Springier-Verlag. second edition.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Aalborg University, Fredrik Bajers Vej 7, DK-9220, Aalborg Ø, Denmark

    Enrik F. Thomsen

Authors
  1. Enrik F. Thomsen
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Editor information

Editors and Affiliations

  1. Department of Civil and Environmental Engineering, University of Trento, Via Mesiano, 77, 38050, Trento, Italy

    Battista Benciolini

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© 2001 Springer-Verlag Berlin Heidelberg

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F. Thomsen, E. (2001). Error Detection in GPS Observations by Means of Multi-Process Models. In: Benciolini, B. (eds) IV Hotine-Marussi Symposium on Mathematical Geodesy. International Association of Geodesy Symposia, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56677-6_32

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  • DOI: https://doi.org/10.1007/978-3-642-56677-6_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62574-9

  • Online ISBN: 978-3-642-56677-6

  • eBook Packages: Springer Book Archive

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