加速度计信号处理的建模与仿真

摘要

A dynamic measurement unit of road pavement roughness on vehicle includes a laser ranger and an ac celerometer. The quadratic integral results from output signals of the accelerometer is used to correct the elevation da ta of the road, however, at present all the processing method cannot eliminate the scale factor error involved in the output signal. According to the common noises of accelerometer, this article established the Kalman filter model in or der to calculate the value of the noises and get rid of them. And Matlab was used to make a simulation experiment. The results show that all the noises including accelerometer bias, scale factor error and random white noise can be e-liminated by Kalman filter effectively.%研究车载公路路面平整度动态测量系统的优化设计问题,加速度计输出信号的二次积分用于修正路面高程数值,由于目前处理一维加速度计信号的方法中均不能滤除混入的标度因数误差.为解决上述问题,提出根据卡尔曼滤波原理建立标定车载道路路面平整度检测单元中一维加速度计混入的零偏差和标度因数误差的卡尔曼滤波模型,并使用MATLAB软件上进行仿真,仿真结果表明建立的卡尔曼滤波模型可以有效估计和滤除加速度计输出信号中混入的固有零偏差、标度因数误差和随机白噪声,为优化设计提供了依据.