Road Roughness Detection Method Based on Array Signals Processing

A road roughness detection method based on array signals processing is proposed.Firstly, translate road signal to the number estimation of array source number using the method of array signal processing.Secondly, translate the movement of the laser detection system relative to the road surface to the DOA estimation of array signals.Thirdly, translate the information extraction of multiple sensor common detection data to the weighted processing of array signals.Finally, reconstructed pavement section shape using the optimal weight vector.Contrastive experiments show that the method is simple and practical.This method provides a new and useful method for the improvement of pavement roughness measurement based on inertial reference.