基于改进小波阈值的MEMS陀螺去噪方法  

MEMS Gyroscope Denoising Method Based on Improved Wavelet Threshold

作　　者：陈学锋[1] 刘祖鹏[1] CHEN Xue-feng;LIU Zu-peng(Henan Mechanical and Electrical Engineering College,Xinxiang 453000,China)

机构地区：[1]河南机电高等专科学校,河南新乡453000

出　　处：《火力与指挥控制》2016年第8期129-132,共4页Fire Control & Command Control

摘　　要：MEMS陀螺由于结构不完善而存在较大的随机误差,为了推进MEMS陀螺的实用化水平、提高测量精度,首先对MEMS陀螺进行了Allan方差分析,得到了MEMS陀螺随机误差的主要成分;然后通过分析软阈值函数和硬阈值函数在直线上的降噪结果,得到了两种阈值函数的缺陷,为了解决软阈值和硬阈值函数的问题,推导了改进的小波阈值函数。通过对比各种阈值函数和阈值量化准则的降噪效果,确定了最终的降噪方案,将此方案应用在陀螺的动静态输出中,使陀螺输出数据的稳定性提高了一个数量级,数据的平均值也更加接近真实值。There existing great random error in MEMS gyro output due to its structure defects,toincrease measurement accuracy and advance practical level,firstly this essay analyzes MEMS gyrooutput through Allan Variance approach,and the main component of random error is gotten. Thenthrough analyzing denoising result of hard threshold and soft threshold,shortcomings of these twothresholds are found. To solve the shortcomings of hard threshold and soft threshold,improvedthreshold function is constructed. Comparing denoising effect of different threshold function andthreshold quantitative guidelines,the eventual denoising project is confirmed. Using this project indynamic and static output of gyro,the result indicates that stability of gyro output increases a degree ofmagnitude,and the mean is closer to the real value.

关 键 词：MEMS陀螺 随机误差 小波阈值降噪 改进的阈值函数 

分 类 号：V241.5[航空宇航科学与技术—飞行器设计]