Discrete Wavelet Transform for Signal Processing in Weight-in-Motion System

A new signal process method based on discrete wavelet transform is proposed in this paper to enhance the accuracy of fiber-optic Weight-In-Motion(WIM) system. The fiber-optic WIM system setup is developed and the characteristic of the axle weight signal is analyzed. The algorithm of the discrete wavelet transformation and its implementation is discussed in detail simultaneously. Theoretical analysis shows the proposed method can effectively reduce the impact of noise signals. The feasibility and effective of the proposed method in data processing of weight-in-motion is verified on-site experiment. Experimental results show that the method of using discrete wavelet transform to analyses the WIM output signals is effective.