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Aiming at the problem that it is difficult to extract and confirm the base point in the preprocessing process of wheel rail force signal, according to the variation characteristics of wheel rail signal amplitude, a method based on cluster analysis of higher-order statistics of segmented data is proposed to screen the data segments that can extract the base point. After the signal is properly segmented, the high-order statistics of the data segment are calculated, and the clustering analysis based on OPTICS is carried out according to the variance and kurtosis of the data segment. The median value of the data segment that corresponding to the classification of the clustering result which close to the zero point as the base point, and the baseline wandering interference of the signal can be obtained after curve fitting the base point. The results of verification with simulation data and measured data and comparative analysis with other existing common methods, show that this method is superior to other methods in mean square error and signal-to-noise ratio. The maximum mean square error is only 0.47% of that of other methods, and the signal-to-noise ratio is at least 23 dB higher than that of other methods.