陀螺信号处理中小波参数选取规则的研究

Research on Selecting Rule for Wavelet Parameters in Gyro Signal Processing

中文关键词:  陀螺漂移  数学模型  小波阈值滤波  消噪效果  小波参数

英文关键词:gyro drift rate  mathematical model  wavelet threshold filtering  de-noising effect  wavelet parameters

中文摘要:

      在陀螺随机漂移的数学模型基础上，利用小波阈值滤波的方法对陀螺仪信号进行消噪处理；以均方根误差和信噪比作为消噪效果的评价标准，分别进行小波基、小波分解层数、阈值函数及阈值估计方法等小波参数的选取；通过比较选择db5小波对陀螺仪信号进行消噪处理，分解层数为第四层，阈值规则选择“rigrsure”，采用软阈值；最后采用上述小波参数对实测陀螺仪信号进行消噪处理，取得较好的消噪效果。

英文摘要:

      The gyro signal was de-noised by wavelet threshold filtering method based on gyro random drift mathematical model.The wavelet parameters which include wavelet base,wavelet decomposition level,threshold function and threshold estimation method were selected by using root-mean-square(RMS) error and signal to noise ratio (SNR) for weighing de-noising effect.The db5 wavelet with 4 level scale,soft threshold and “rigrsure” threshold rule was selected by comparison.Finally,using the wavelet parameters(given above) to de-noise the gyro signal which was measured by experiment and an excellent de-noising effect was obtained.