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Kalman-filter-based GPS clock estimation for near real-time positioning

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Abstract

In this article, an algorithm for clock offset estimation of the GPS satellites is presented. The algorithm is based on a Kalman-filter and processes undifferenced code and carrier-phase measurements of a global tracking network. The clock offset and drift of the satellite clocks are estimated along with tracking station clock offsets, tropospheric zenith path delay and carrier-phase ambiguities. The article provides a brief overview of already existing near-real-time and real-time clock products. The filter algorithm and data processing scheme is presented. Finally, the accuracy of the orbit and clock product is assessed with a precise orbit determination of the MetOp satellite and compared to results gained with other real-time products.

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Acknowledgments

The following contributions are gratefully acknowledged: Near real-time and real-time clocks and orbits for the analyses have been contributed by AIUB, ESOC (via Eumetsat) and JPL (via Infoterra). The final orbits and clocks have been obtained from CODE and the ultra-rapid predicted orbits and clocks from IGS. The GPS data from the GRAS receiver on MetOp-A has been made available by ESA/Eumetsat.

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Authors and Affiliations

  1. German Space Operations Center (GSOC), Deutsches Zentrum für Luft-und Raumfahrt (DLR), 82234, Wessling , Germany

    André Hauschild & Oliver Montenbruck

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  1. André Hauschild
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  2. Oliver Montenbruck
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Correspondence to André Hauschild.

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Hauschild, A., Montenbruck, O. Kalman-filter-based GPS clock estimation for near real-time positioning. GPS Solut 13, 173–182 (2009). https://doi.org/10.1007/s10291-008-0110-3

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  • DOI: https://doi.org/10.1007/s10291-008-0110-3

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