Dynamic data outliers eliminating and filtering Method for motion information of Hovercraft

摘要

Normally, hovercraft movement need to be controlled by its motion parameters. The parameters after filtering can improve the control quality of hovercraft. To overcome the problem that the data measuring with hovercraft high-speed maneuvering always have missing value, outliers and noise, and so on. A method is selected to solve such problems. Firstly, supplement the missing value through the interpolation method. Then use polynomial fitting method based on wright guidelines and least squares method to exclude outliers. Finally, use wavelet decomposition and reconstruction method to achieve data filtering smoothing. A series of simulation experiments were carried out to validate that the proposed data filtering methods are useful and effective.