王建锋, 宋宏勋, 马荣贵. 基于阵列信号融合的路面平整度检测原理研究[J]. 微电子学与计算机, 2012, 29(10): 69-73.
引用本文: 王建锋, 宋宏勋, 马荣贵. 基于阵列信号融合的路面平整度检测原理研究[J]. 微电子学与计算机, 2012, 29(10): 69-73.
WANG Jian-feng, SONG Hong-xun, MA Rong-gui. Road Roughness Detection Method Based on Array Signals Processing[J]. Microelectronics & Computer, 2012, 29(10): 69-73.
Citation: WANG Jian-feng, SONG Hong-xun, MA Rong-gui. Road Roughness Detection Method Based on Array Signals Processing[J]. Microelectronics & Computer, 2012, 29(10): 69-73.

基于阵列信号融合的路面平整度检测原理研究

Road Roughness Detection Method Based on Array Signals Processing

  • 摘要: 提出了一种基于阵列信号分析原理的激光路面平整度检测方法.利用阵列信号处理方法,将路面信号转化为阵列信号源个数的估计;将激光检测系统相对于路面的运动转化为阵列信号波达方向的估计;将多传感器检测数据共同信息的提取转化为阵列信号中多信号权向量的加权处理;利用最佳权向量重构出路面断面形状.实验证明此方法简单实用,可以为路面平整度检测设备的改良提供一种全新且好用的方法.

     

    Abstract: 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.

     

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