Abstract
High accurate prediction of UT1-UTC is very important for high-precision aircraft navigation and positioning. In this paper, the weighted least-squares (WLS) combined with multivariate autoregressive (MAR) is proposed to predict UT1-UTC with different span. The new method can efficiently consider the influence of time-varying for the cycle and trend terms of UT1-UTC, which is closely related to atmospheric angular momentum (AAM). The numerical example shows that the prediction accuracy of WLS + MAR method is better than that of LS + MAR method as well as LS + AR method. The results prove that the WLS + MAR model can effectively improve the prediction accuracy of UT1-UTC.
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Acknowledgments
This work was supported by the Foundation for the Author of National Excellent Doctoral Dissertation of China (2007B51), the Open Foundation of State Key Laboratory of Geodesy and Earth's Dynamics (SKLGED2013-4-2-EZ) and Natural Science Foundation of China (41174008).
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Sun, Zz., Xu, Th. (2013). Prediction of UT1-UTC Based on Combination of Weighted Least-Squares and Multivariate Autoregressive. In: Sun, J., Jiao, W., Wu, H., Shi, C. (eds) China Satellite Navigation Conference (CSNC) 2013 Proceedings. Lecture Notes in Electrical Engineering, vol 245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37407-4_21
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DOI: https://doi.org/10.1007/978-3-642-37407-4_21
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