MEMS陀螺仪中一种新的小波变换降噪算法  

A New Wavelet Transform Denoising Algorithm for the MEMS Gyroscope

作　　者：张士磊 吕鲲[2] ZHANG Shilei;LV Kun(Department of Automatic Control,Henan Institute of Technology, Xinxiang 453003;School of Mechanical and Power Engineering, Henan Polytechnic University,Jiaozuo 454000 China)

机构地区：[1]河南工学院自动控制系,河南新乡453003 [2]河南理工大学机械与动力工程学院,河南焦作454000

出　　处：《湘潭大学自然科学学报》2017年第4期123-126,共4页Natural Science Journal of Xiangtan University

基　　金：河南省教育厅项目(15A470217)

摘　　要：针对MEMS(micro-electro mechanical systems)陀螺仪噪声大的问题,提出了一种基于小波变换的改进降噪算法.在恒定速率与动态速率情况下,对所提出的改进降噪算法与FFT降噪算法和单纯小波变换降噪算法做了对比分析和验证.实验分析表明:所提出的改进降噪算法对不同频率下的陀螺仪数据降噪都有很好的效果,优于FFT降噪算法和单纯小波变换降噪算法.A new improved denoising algorithm based on the wavelet transform is proposed so as to improve the large noise problem of the micro electro mechanical systems(MEMS)gyroscopes.Moreover,the FFT denoising algorithm,the simple wavelet denoising algorithm and the new improved denoising algorithm are comparatively analyzed and experimentally verified in the case of the constant rate and dynamic rate.The experimental analysis shows that the improved denoising algorithm has a better result in the denoising of the gyroscope data at different frequencies,and its performance is more excellent than those of the FFT denoising algorithm and the simple wavelet denoising algorithm.

关 键 词：小波变换 MEMS陀螺仪 FFT降噪 噪声 算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]