Abstract
The real-time acquirement and prediction of high precise clock error is an important foundation in the field of Global Navigation Satellite System (GNSS) real-time precise point positioning and time service. In this paper, GNSS satellite clock error sequence is analyzed in detail, especially for the Beidou Navigation Satellite System, the periodicity characteristic is compared with distinguished types of satellite clock. The sample length of GPS and BDS clock error sequence are analyzed with the method of Polynomial and Periodic model, the result shows that the short-term prediction is better using one-day sequence than two- or three-day sequence. The ARIMA model is optimized with a new fitting method and determining criteria of the order p and q, which is used to the short-term prediction of satellite clock error. And the precision of satellite clock error is analyzed in 1–6 h prediction length, which is compared with the prediction using Polynomial and Periodic method. The results show that the precision has significantly improved, the mostly GPS rubidium clock error prediction precision of 6 h is better than 0.6 ns and 1 h is better than 0.25 ns which has 50 % improved as statistics for a single month. Meanwhile, the BDS satellite clock error prediction precision of 6 h is better than 2 ns and 1 h is better than 1.4 ns which has 30 % improved.
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Acknowledgments
This study is funded by the National Natural Science Fund (No. 11273048). The IGS is acknowledged for providing the final GPS clock error products. The iGMAS is acknowledged for providing final BDS clock error products.
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© 2016 Springer Science+Business Media Singapore
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Zhou, W., Huang, C., Song, S., Chen, Q., Liu, Z. (2016). Characteristic Analysis and Short-Term Prediction of GPS/BDS Satellite Clock Correction. In: Sun, J., Liu, J., Fan, S., Wang, F. (eds) China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume III. Lecture Notes in Electrical Engineering, vol 390. Springer, Singapore. https://doi.org/10.1007/978-981-10-0940-2_17
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DOI: https://doi.org/10.1007/978-981-10-0940-2_17
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