Short-term earth orientation parameters predictions by combination of the least-squares, AR model and Kalman filter

This study employs a combination of the least-squares, an autoregressive (AR) model and a Kalman filter (LS + AR + Kalman) in short-term prediction of the earth orientation parameters (the length-of-day (LOD), UT1-UTC and polar motion). Compared to least-squares and AR model (LS + AR), the combination of least-squares. AR model and Kalman filter performs better in the prediction of UT1-UTC and LOD, and shows a significant improvement in prediction of the polar motion. (C) 2011 Elsevier Ltd. All rights reserved.

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