ESD电流波形的小波自适应Kalman滤波去噪方法  

Denoising method of ESD current waveform based on wavelet and adaptive Kalman filtering

作　　者：周奎 阮方鸣[2,3] 管胜[1] 苏明 王珩 Zhou Kui;Ruan Fangming;Guan Sheng;Su Ming;Wang Heng(School of Big Data and Information Engineering,Guizhou University,Guiyang 550025,China;Beijing Oriental Institute of Measurement and Test,Beijing 100094,China;School of Big Data and Computer Sciences,Guizhou Normal University,Guiyang 550001,China)

机构地区：[1]贵州大学大数据与信息工程学院,贵州贵阳550025 [2]北京东方计量测试研究所,北京100094 [3]贵州师范大学大数据与计算机科学学院,贵州贵阳550001

出　　处：《电子技术应用》2018年第10期83-87,共5页Application of Electronic Technique

基　　金：贵州省静电与电磁防护科技创新人才团队项目(黔科合平台人才[2017]5653);北京东方计量测试研究所刘尚合院士专家工作站静电研究基金(BOIMTLSHJD20161004);2016年度中央引导地方科技发展专项资金项目(黔科中引地[2016] 4006号)

摘　　要：为降低静电放电电流信号的干扰噪声,将小波分析与自适应Kalman滤波算法结合用于ESD电流波形去噪分析。并将Adams预测校正算法用于人体-金属模型ESD电流的数值计算,建立了相应的加噪ESD电流信号模型,小波去噪在此模型上进行去噪性能分析。针对实测ESD电流波形,使用小波阈值去噪方法对ESD电流波形进行预处理,获得较为平稳的观测数据;再根据观测数据的信息,采用Sage-Husa的自适应Kalman滤波算法对小波预处理后的数据做优化处理。结果显示,基于小波分析和自适应Kalman滤波算法可以有效降低实测ESD电流波形的干扰噪声。In order to reduce the interference noise of ESD current signal,wavelet analysis and adaptive Kalman filter are used in the study of ESD current waveform denoising.The numerical solutions of ESD current of human body-metal model are computed by the Adams prediction-calibration algorithm,and a corresponding noisy ESD current signal model is established.The wavelet denoising method performs denoising performance analysis on this model.Aiming at the measured ESD current waveform,the wavelet threshold denoising method is used to preprocess the ESD current waveforms,and obtain more stable observation data.According to the information of the observed data,the adaptive Kalman filter algorithm proposed by Sage-Husa is used to optimize the data processed the wavelet pretreatment data.The results show that the wavelet analysis and adaptive Kalman filter algorithm can effectively reduce the interference noise of the measured ESD current waveform.

关 键 词：静电放电 电流波形 Adams预测校正算法 小波去噪 自适应Kalman滤波 

分 类 号：TN911.72[电子电信—通信与信息系统] O441.1[电子电信—信息与通信工程]