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Real-time clock offset prediction with an improved model

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Abstract

The GPS orbit precision of the IGS ultra-rapid predicted (IGU-P) products has been remarkably improved since 2007. However, the satellite clock offsets of the IGU-P products have not shown sufficient high-quality prediction to achieve sub-decimeter precision in real-time precise point positioning (RTPPP), being at the level of 1–3 ns (30–90 cm) RMS in recent years. An improved prediction model for satellite clocks is proposed in order to enhance the precision of predicted clock offsets. First, the proposed prediction model adds a few cyclic terms to absorb the periodic effects, and a time adaptive function is used to adjust the weight of the observation in the prediction model. Second, initial deviations of the predictions are reduced by using a recomputed constant term. The simulation results have shown that the proposed prediction model can give a better performance than the IGU-P clock products and can achieve precision better than 0.55 ns (16.5 cm) in real-time predictions. In addition, the RTPPP method was chosen to test the efficiency of the new model for real-time static and kinematic positioning. The numerical examples using the data set of 140 IGS stations show that the static RTPPP precision based on the proposed clock model has been improved about 22.8 and 41.5 % in the east and height components compared to the IGU-P clock products, while the precisions in the north components are the equal. The kinematic example using three IGS stations shows that the kinematic RTPPP precision based on the proposed clock model has improved about 30, 72 and 44 % in the east, north and height components.

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Acknowledgments

This study was supported by National Natural Science Foundation of China (Grant No. 41020144004, 41104022, 41104019 and 40902081), the Special Fund for Basic Scientific Research of Central Colleges (Grant No. CHD2010ZY001, No. CHD2011ZY023, Chang’an University).

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Authors and Affiliations

  1. College of Geology Engineering and Geomantic, Chang’an University, Xi’an, 710054, Shaanxi, China

    Guan Wen Huang & Qin Zhang

  2. Department of Geodesy and Remote Sensing, GeoForschungsZentrum (GFZ), 14473, Potsdam, Germany

    Guan Wen Huang & Guo Chang Xu

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  1. Guan Wen Huang
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  2. Qin Zhang
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  3. Guo Chang Xu
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Correspondence to Guan Wen Huang.

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Huang, G.W., Zhang, Q. & Xu, G.C. Real-time clock offset prediction with an improved model. GPS Solut 18, 95–104 (2014). https://doi.org/10.1007/s10291-013-0313-0

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