基于ICEEMDAN-ACF的自适应MEMS陀螺信号去噪方法  

Adaptive MEMS Gyroscope Signal Denoising Method Based on ICEEMDAN-ACF

作　　者：王伟[1,2] 冉昌艳 孙水发 祝执[1,2] 罗志会[3] WANG Wei;RAN Changyan;SUN Shuifa;ZHU Zhi;LUO Zhihui(Hubei Key Laboratory of Intelligent Visual Monitoring for Hydropower Project,China Three Gorges University,Yichang 443002,China;School of Computer and Information,China Three Gorges University,Yichang 443002,China;Hubei Engineering Research Center of Weak Magnetic-field Detection,China Three Gorges University,Yichang 443002,China;College of Science,China Three Gorges University,Yichang 443002,China)

机构地区：[1]湖北省水电工程智能视觉监测重点实验室(三峡大学),湖北宜昌443002 [2]三峡大学计算机与信息学院,湖北宜昌443002 [3]三峡大学湖北省弱磁探测工程技术研究中心,湖北宜昌443002 [4]三峡大学理学院,湖北宜昌443002

出　　处：《仪表技术与传感器》2023年第9期112-118,共7页Instrument Technique and Sensor

基　　金：湖北省水电工程智能视觉检测重点实验室开放基金(2020SDSJ07);水电工程智能视觉监测湖北省重点实验室建设(2019ZYYD007);湖北省宜昌市自然科学研究项目(A20-3-004)。

摘　　要：针对基于EMD的MEMS陀螺信号去噪方法中存在模态混叠、Hurst指数筛选法和相关系数筛选法无法准确筛选含噪本征模态函数(IMF)的问题,提出一种基于改进自适应噪声完备集合经验模态分解-自相关函数(ICEEMDAN-ACF)的自适应MEMS陀螺信号去噪方法。首先使用ACF自适应阈值判断信号信噪比,对于包含低能量高频成分的低信噪比信号使用小波软阈值预降噪,之后使用ICEEMDAN算法将陀螺信号分解为多个IMF和一个余项,使用ACF自适应阈值筛选噪声主导IMF,剔除噪声主导IMF后重构陀螺信号。实验表明:文中改进算法在低、中、高信噪比条件下的去噪效果均优于小波软阈值法、EMD-Hurst指数法、EMD-相关系数法和EMD-ACF法。Aiming at the problems that the MEMS gyroscope signal denoising method based on EMD has modal blending,the Hurst exponent screening method and the correlation coefficient screening method cannot accurately screen the noise-containing intrinsic mode function(IMF),an adaptive MEMS gyroscope signal denoising method based on improved complete ensemble empirical mode decomposition with adaptive noise-autocorrelation function(ICEEMDAN-ACF)was proposed.Firstly,the ACF adaptive threshold was used to judge the SNR of the signal,and wavelet soft threshold was used to pre-denoise the low SNR signal containing low energy high frequency components.Then,the ICEEMDAN algorithm was used to decompose the gyroscope signal into multiple intrinsic mode functions and a residual term,and the ACF adaptive threshold was used to screen the noise dominated IMF.The gyroscope signal was reconstructed after removing the noise dominated IMF.The experiments show that the proposed improved algorithm outperforms wavelet soft thresholding,EMD-Hurst exponent,EMD-correlation coefficient and EMD-ACF methods in the conditions of low,medium and high SNR.

关 键 词：MEMS陀螺 信号去噪 ICEEMDAN 自适应阈值 自相关函数 随机噪声 

分 类 号：TH89[机械工程—仪器科学与技术]