Abstract
This paper proposes a method of Earth polar motion parameters prediction by dual differential least-squares (LS) and autoregressive (AR) model. Firstly, polar motion parameters are processed by dual differential method, the stationarity of polar motion parameters is improved. Then, LS+AR method is utilized to analyze the dual differential polar motion parameters to obtain the preliminary prediction results. Finally, the preliminary prediction results are processed by inverse dual differential method to obtain high accuracy polar motion prediction results. The prediction results are compared with EOP prediction comparison campaign (EOP_PCC) results, it shows that the short-term polar motion parameters prediction error is at the same level of EOP_PCC. The one day prediction accuracy of PMX is at the level of 0.25 mas, PMY is 0.2 mas, they are better than EOP_PCC one day polar motion prediction accuracy.
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Acknowledgments
We thank the International Earth Rotation and Reference Systems Service (IERS) for providing the EOP data.
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© 2015 Springer-Verlag Berlin Heidelberg
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Chen, L. et al. (2015). Earth Polar Motion Parameters High Accuracy Differential Prediction. In: Shen, R., Qian, W. (eds) Proceedings of the 27th Conference of Spacecraft TT&C Technology in China. Lecture Notes in Electrical Engineering, vol 323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44687-4_7
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DOI: https://doi.org/10.1007/978-3-662-44687-4_7
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