Chapter 21 Prediction of UT1-UTC Based on Combination of Weighted Least-Squares and Multivariate Autoregressive

摘要

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.