车载光电测量平台晃动监测数据分析  

Analysis on swinging monitoring data of vehicle optoelectronic measuring platform

作　　者：戴飞飞[1,2] 杨晓霞[1] 王建立[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [2]中国科学院大学,北京100039

出　　处：《传感器与微系统》2013年第12期74-77,共4页Transducer and Microsystem Technologies

基　　金：中科院第三期创新工程资助项目

摘　　要：车载环境下由于加速度计自身和外界环境干扰等因素的影响,真实的加速度信号叠加了大量干扰信号。针对加速度计信号特点,采用小波阈值去噪对加速度计信号进行了滤波处理。建立一个振动信号模型,将真实的加速度计的输出噪声作为干扰成分叠加到该模型上,选择较优的小波参数,对仿真信号进行小波阈值去噪,去噪后信噪比(SNR)由4.24 dB提高到20.45 dB,均方根误差(RMSE)由0.051改善到0.008 1。据此对真实加速度计输出信号进行去噪处理,实验结果表明:小波阈值去噪对加速度信号具有良好的滤波效果。The accelerometer output signal is often superimposed on a large number of disturbing signals as a result of the characteristic of accelerometer and the external environment noise. Aiming at characteristic of accelerometer signal, focuses on the filtering of the accelerometer signal based on the wavelet threshold de-noising method. A vibration signal model is established with a real output signal superimposed, select optimal wavelet parameters and process the simulated signal by wavelet threshold denoising, the signal-to-noise ratio （SNR）is increased from 4.24 dB to 20.45 dB, the root-mean-square error（RMSE） is improved from 0. 051 to 0. 008 1. On this basis, real output signal of accelerometer is processed by denoising, and it shows that wavelet threshold de- noising method works well on fihering acceleration signal.

关 键 词：车载平台 加速度计 小波分析 阈值去噪 

分 类 号：TH745[机械工程—光学工程] TP274.2[机械工程—仪器科学与技术]