基于小波变换和维纳滤波的CAN通信信号滤波方法  

CAN Communication Signal Filtering Method Based on Wavelet Transform and Wiener Filtering

作　　者：刘轲珂 LIU Keke(Sichuan Communication Scientific Research Planning and Design Co.,Ltd.,Neijiang Branch,Neijiang 641000,China)

机构地区：[1]四川通信科研规划设计有限责任公司内江分公司,四川内江641000

出　　处：《通信电源技术》2023年第17期120-122,共3页Telecom Power Technology

摘　　要：为有效解决控制器局域网络(Controller Area Network,CAN)通信信号中存在噪声等问题,通过分析小波变换和维纳滤波的优点,提出一种基于小波变换和维纳滤波的通信信号滤波方法。该方法以小波变换阈值法去噪为基础,对通信信号的低频小波系数进行滤波和维纳处理,并利用经过处理的低频小波系数重构去噪后的通信信号,从而实现对通信信号的精准滤波。通过仿真实验,证明该方法不仅能有效抑制噪声,还能降低通信信号的信息损失,提高信噪比。To effectively solve the problem of noise in communication signals of Controller Area Network(CAN),a communication signal filtering method based on wavelet transform and Wiener filtering is proposed by analyzing the advantages of wavelet transform and Wiener filtering.This method is based on the wavelet transform threshold method for denoising,filtering and Wiener processing the low-frequency wavelet coefficients of the communication signal,and reconstructing the denoised communication signal using the processed low-frequency wavelet coefficients,thereby achieving accurate filtering of the communication signal.Through simulation experiments,it has been proven that this method not only effectively suppresses noise,but also reduces information loss of communication signals and improves signal-to-noise ratio.

关 键 词：小波变换 维纳滤波 控制器局域网络(CAN) 通信信号 滤波方法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP368.1[自动化与计算机技术—控制科学与工程]