静态小波变换在汽车道路模拟试验中的应用  

Application of Stationary Wavelet Transform in Vehicle Road Simulation Test

作　　者：李忠国[1] 张为公[1] 刘庆华[1] 刘广孚[1] 

机构地区：[1]东南大学仪器科学与工程学院

出　　处：《数据采集与处理》2007年第2期238-241,共4页Journal of Data Acquisition and Processing

基　　金：江苏省交通厅基金(05c02)资助项目

摘　　要：在汽车道路模拟试验中,去除测得的响应信号中包含的随机噪声是实现精确逼近所必需的。本文比较了离散小波变换和静态小波变换在信号分解和重构时的不同。经比较分析提出了采用“bior 1.5”小波,选用“heusure”阈值,经硬阈值处理,作5层分解的静态小波滤波的垂直载荷滤波方案。通过对实际道路的汽车垂直载荷的滤波,证明了静态小波变换具有重构信号不发生偏移的优点。该方案在去除白噪声的同时,不产生信号的频谱失真,为汽车道路模拟试验提供了准确的分析数据。During the vehicle road simulation test, the elimination of the random noise contained in the tested response signal is necessary for precise approximation. Differences are compared between the discrete wavelet transform and the stationary wavelet transform in signal decomposition and reconstruction. By comparisons and analyses, a filtering scheme for the vertical load is proposed： employing ＂bior 1.5＂ wavelet, choosing ＂heusure＂ threshold, dealing with hard threshold, making 5-layer decompositions and conducting stationary wavelet filtering. The filtering result of the vehicle vertical load on real road verifies the advantage of the stationary wavelet transform—translation invariance after reconstructing. Such scheme can eliminate the white noise without the distortion of signal frequency spectra, thus providing accurate data for vehicle road simulation test.

关 键 词：滤波 静态小波变换 汽车道路试验 车轮力 动态载荷 

分 类 号：U467.4[机械工程—车辆工程]