To remove the effects of interferential signal on automobile wheel speed signal and guarantee the effectual control of ABS, this paper made use of the non-linear mapping capability of BP neural network, and established a BP neural network model from input signal to export signal by learning from normal signal filtering samples (obtained from wavelet transform). This model could store and memorize filtering process through weight values and thresholds, and then signal filtering and processing could be realized through the envision of the neural network. Finally, the simulated results proved that the model is valid and suitable.