Study of Pavement Identification Approach Based on Wavelet Analysis
The pavement identification approach based on wavelet analysis applied to the vehicle electronic control brake system on varying pavement is studied. According to the approach based on vehicle model, wheel velocity, brake cylinder hydraulic pressure and the approach based on lateral acceleration, longitudinal acceleration of the body, signals of pavement adhesion coefficient with interference are estimated respectively, three approaches including wavelet multi-resolution analysis, wavelet analysis with soft threshold de-noising and wavelet multi-resolution analysis with singular value decomposition de-noising are adopted to do the de-noising study and result comparison analysis of the pavement adhesion coefficient with interference, then the application characteristics of the three analysis approaches in the estimation of varying pavement adhesion condition are expounded. The results show that the wavelet multi-resolution analysis can improve the validity and precision of the estimated pavement adhesion state characteristic signal as well as the control accuracy and adaptability of the electronic control brake system on varying pavements.
R. Y. Sun et al., "Study of Pavement Identification Approach Based on Wavelet Analysis", Applied Mechanics and Materials, Vols. 44-47, pp. 3632-3639, 2011