一种基于小波的磁通门传感器信号去噪方法  

A Wavelet-Based Denoising Method for Fluxgate Sensor Signals

作　　者：方潜生 林汝月 朱徐来 FANG Qiansheng;LIN Ruyue;ZHU Xuai(Anhui Provcince Key Laboratory of Intelligent Building and Building Energy Saving,Hefei 230601,China;School of Electronics and Information Engineering,Anhui Jianzhu University,Hefei 230601,China)

机构地区：[1]智能建筑与建筑节能安徽省重点实验室,安徽合肥230601 [2]安徽建筑大学,电子与信息工程学院,安徽合肥230601

出　　处：《安徽建筑大学学报》2025年第1期36-42,50,共8页Journal of Anhui Jianzhu University

基　　金：安徽省高校省级自然科学研究项目(2022AH050266);安徽省教育基本建设学会重点项目(2205-5)。

摘　　要：磁通门信号在采用低通滤波去除噪声的过程中,会引入电路中的白噪声。为了去除磁通门信号中的白噪声,本文在研究双磁芯磁通门的基础上,采用小波分析的方法处理磁通门信号,从而实现去噪。本文采用一种新型阈值函数,通过仿真实验确定小波的最优匹配组合,并将其运用于磁通门信号的去噪处理,所得信噪比和均方根误差分别为25.560 1 dB和0.095 0,相较于传统阈值方法均有所优化。In the noise removal by low-pass filtering,the fluxgate signal will introduce white noise in the circuit.To remove the white noise in the fluxgate signal,this paper adopts the wavelet analysis method based on the study of the dual-core fluxgate signal.A new threshold function is used to determine the optimal matching combination of wavelet through simulation experiments,which is applied to the denoising of the fluxgate signal.The resulting signal-to-noise ratio and root-mean-square error are 25.5601dB and 0.0950,respectively,both better than those obtained using the conventional threshold method.

关 键 词：磁通门 小波分析 信噪比 均方根误差 阈值函数 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]