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An Improved Method for Short-Term Prediction of GPS Inter-frequency Clock Bias

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China Satellite Navigation Conference (CSNC 2022) Proceedings

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 910))

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Abstract

The traditional inter-frequency clock bias (IFCB) prediction method based on the harmonic model has large jumps at the junction of prediction arcs. An improved method is proposed for GPS IFCB short-term prediction, which fits linear and sinusoidal terms of the harmonic model adopting epoch-differenced (ED) IFCB and corrects constant term using the precision IFCB with the nearest epoch to the initial prediction epoch. The jumps in adjacent prediction arcs are reduced effectively and the IFCB short-term prediction accuracy is improved. The results illustrate that the average prediction accuracy of the proposed method is improved by 62.5%, 47.1%, 35.5% and 30% for 3, 6, 12 and 24 h, respectively. Meanwhile, the positioning performance of GPS triple-frequency PPP is improved and the accuracy is improved by 5.08%, 2.3% and 5.18% over the traditional prediction method in the three directions of E, N and U, respectively.

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Acknowledgments

This research was funded by National Science Foundation (NSFC) of China, Grant Number 42104026, Beijing Natural Science Foundation, Grant Number 4204094, General research project of Beijing education commission, Grant Number KM201910016007.

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Correspondence to Lizhong Qu .

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Zhang, P., Qu, L., Li, D. (2022). An Improved Method for Short-Term Prediction of GPS Inter-frequency Clock Bias. In: Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC 2022) Proceedings. Lecture Notes in Electrical Engineering, vol 910. Springer, Singapore. https://doi.org/10.1007/978-981-19-2576-4_5

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  • DOI: https://doi.org/10.1007/978-981-19-2576-4_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2575-7

  • Online ISBN: 978-981-19-2576-4

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