Abstract:There is a large amount of raw data for high-speed railway ballastless track static detection, and gross errors appeared in them. Based on research into common detection methods, a new method is proposed. This method uses wavelet analysis theory to select the appropriate wavelet basis, and then static test data is filtered to remove the gross errors in raw data of track static detection. Finally, the static detection of Guiyang-Guangzhou high-speed railway is carried out. The results show that the proposed method can effectively remove gross errors, and obtains a good detection effect.