Ultra Short-term Prediction of Pole Coordinates via Combination of Empirical Mode Decomposition and Neural Networks
Online veröffentlicht: 23. Dez. 2016
Seitenbereich: 149 - 161
Eingereicht: 22. Juni 2016
Akzeptiert: 07. Nov. 2016
DOI: https://doi.org/10.1515/arsa-2016-0013
Schlüsselwörter
© 2016 Artificial Satellites
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
It was shown in the previous study that the increase of pole coordinates prediction error for about 100 days in the future is mostly caused by irregular short period oscillations. In this paper, the ultra short-term prediction of pole coordinates is studied for 10 days in the future by means of combination of empirical mode decomposition (EMD) and neural networks (NN), denoted EMD-NN. In the algorithm, EMD is employed as a low pass filter for eliminating high frequency signals from observed pole coordinates data. Then the annual and Chandler wobbles are removed