A Novel Ship-rocking Forecasting Method based on Hilbert- Huang Transform

8th International Conference on Advanced Infocomm Technology

De-Yong, Kang^1 ; Yu-Jian, Li^1 ; Xu-Liang, Wang^1 ; Zhi, Chen^2

JLOMAC, China Satellite Maritime Tracking and Control Department, Jiangyin

214431, China^1

Department of Modern Physics, University of Science and Technology of China, Hefei

230026, China^2

关键词: Conventional methods;    Forecasting methods;    Hilbert;    Hilbert Huang transforms;    Prediction time;    Vertical direction;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/679/1/012034/pdf
DOI  :  10.1088/1742-6596/679/1/012034

来源: IOP

【 摘 要 】

The ship-rocking is a crucial factor which affects the accuracy of the ocean-based aerospace vehicle measurement. Here we have analysed groups of ship-rocking time series in horizontal and vertical directions utilizing a Hilbert based method from statistical physics. Based on these results we could predict certain amount of future values of the ship-rocking time series based on the current and the previous values. Our predictions are as accurate as the conventional methods from stochastic processes and provide a much wider prediction time range.