Steering wheel angle filtering based on wavelet transform

Traditional filtering methods can't eliminate the effect of interfering signals on steering wheel angle and extract useful signal effectively.Regarding to this, a new method based on wavelet transform is presented.According to the Mallat algorithm, firstly, the signal is decomposed into seven layers by selecting db7 wavelet.Aiming at every layer detail signal after wavelet decomposing, the soft-threshold filtering method is employed to eliminate noises, then the inverse wavelet transform is used to reconstruct the filtered signal.The experimental results show that this method can effectively eliminate awful noises and achieve a good performance.