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2022 | OriginalPaper | Buchkapitel

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

verfasst von : Pu Zhang, Lizhong Qu, Dongjun Li

Erschienen in: China Satellite Navigation Conference (CSNC 2022) Proceedings

Verlag: Springer Nature Singapore

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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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Metadaten
Titel
An Improved Method for Short-Term Prediction of GPS Inter-frequency Clock Bias
verfasst von
Pu Zhang
Lizhong Qu
Dongjun Li
Copyright-Jahr
2022
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-2576-4_5

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