基于经验小波变换的多通道微弱电流信号噪声控制  

Noise Control of Multi-Channel Weak Current Signal Based on Empirical Wavelet Transform

在线阅读下载全文

作  者:于双江[1] 倪建军[1] 富帅[1] YU Shuangjiang;NI Jianjun;FU Shuai(Beijing Institute of Space Mechanics&Electricity,Beijing 100076,China)

机构地区:[1]北京空间机电研究所,北京100076

出  处:《计算机测量与控制》2024年第2期122-128,共7页Computer Measurement &Control

摘  要:多通道微弱电流信号受很多噪声因素的干扰,导致输出的微弱电流信号与原始信号之间的相对误差增加,控制效果变差,为此提出基于经验小波变换的多通道微弱电流信号噪声控制方法;采集多通道微弱电流信号,利用经验小波变换技术分解采集到的微弱电流信号,判断电流信号中是否存在噪声并确定噪声类型;设计微弱电流信号噪声控制器,根据电流信号中的噪声量与噪声类型生成控制指令,对不同通道微弱电流信号噪声进行控制;在两种不同噪声强度的实验环境下,该方法控制下的多通道微弱电流信号信噪比较高,输出信号与原始信号间的相对误差较低,控制任务完成时间更短;以此证明该方法的多通道微弱电流信号噪声控制效果更好,可以广泛应用至电流信号噪声控制领域。Multi-channel weak current signals are interfered with many noise factors,resulting in an increase in relative error between the output weak current signal and original signal,and its control effect becomes poor.Therefore,a multi-channel weak current signal noise control method based on empirical wavelet transform is proposed.By collecting the multi-channel weak current signals,the empirical wavelet transform technology is used to decompose the collected weak current signals,determine whether there is noise in the current signal,and determine the type of noise.Based on the amount and type of noise in the current signal,a weak current signal noise controller is designed to generate control instructions,and control the weak current signal noise in different channels.In two experimental environments with different noise intensities,the multi-channel weak current signal of this method has a high signal-to-noise ratio,lower relative error between the output signal and original signal,and shorter control task completion time,which proves that the multi-channel weak current signal noise control effect of the method is better,it can be widely applied in the field of current signal noise control.

关 键 词:经验小波变换 多通道 微弱电流信号 噪声控制 信号分解 噪声量 噪声类型 

分 类 号:TP631[自动化与计算机技术—控制理论与控制工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象