文章摘要
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
投稿时间:2024-01-16  修订日期:2024-05-14
DOI:
中文关键词: 磁通门  小波分析,信噪比  均方根误差  阈值函数
英文关键词: Fluxgate  Wavelet analysis, Signal-to-noise ratio  Root mean square error  Threshold noise reduction
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位邮编
方潜生 安徽建筑大学智能建筑与建筑节能安徽省重点实验室 230601
林汝月 安徽建筑大学智能建筑与建筑节能安徽省重点实验室 
朱徐来* 安徽建筑大学智能建筑与建筑节能安徽省重点实验室 230601
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中文摘要:
      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,为了有效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,并将其运用到磁通门信号的去噪处理中,所得信噪比和均方根误差分别为25.5601dB和0.0950,相较于传统阈值方法都有所提高。
英文摘要:
      The fluxgate signal will inevitably introduce white noise in the circuit in the process of removing noise by low-pass filtering. In order to effectively remove the white noise in the fluxgate signal, this paper adopts the wavelet technique to process the fluxgate signal on the basis of the study of the dual-core fluxgate to achieve the denoising. In this paper, a new type of threshold function is adopted, and the optimal matching combination of wavelets is determined through simulation experiments and applied to denoising of fluxgate signals, and the resulting signal-to-noise ratio and root-mean-square error are 25.5601 dB and 0.0950, respectively, which are both improved compared with the traditional threshold method.
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