摘要
为了减少噪声对闪电电场信号的影响,进一步提高闪电资料的可靠性,提出了一种基于改进小波阈值函数的闪电电场信号去噪方法。该方法通过调整参数a使其具备了软、硬阈值的优点,并克服了硬阈值函数在阈值处不连续以及软阈值函数存在恒定偏差的缺陷。使用本文的改进小波阈值函数法对不同噪声强度的标准闪电波形和实测闪电电场信号进行了去噪研究,并用信噪比(SNR)和均方根误差(RMSE)对去噪效果进行了定量分析。实验结果表明,与硬阈值、软阈值、半软阈值和Garrote阈值法相比,所提方法对闪电电场信号去噪效果更加显著,而且能较好的保留信号的细节信息和基本特征。
Lightning electric field signals are often disturbed by noise,in order to reduce the interference of noise and further improve the reliability of lightning data,a method for denoising lightning electric field signals based on an improved wavelet threshold function is proposed in this paper.This algorithm can adjust the soft and hard thresholds characters by adjusting parameter a.It overcomes the defects that the hard threshold function is discontinuous at the threshold and the soft threshold function has a constant deviation.Using this algorithm to carry out denoising research on the standard lightning waveform with the different noise intensity and the measured lightning electric field signal,the signal-to-noise ratio(SNR)and root mean square error(RMSE)are used to analyze the denoising effect in this paper quantitatively.The results show that compared with the hard threshold,soft threshold,semi-soft threshold and Garrote threshold,the proposed algorithm has more significant denoising effect on the lightning electric field signal,it can retain the detailed information and basic characteristics of the signal better.
作者
火元莲
张健
连培君
陈萌萌
郑海亮
HUO Yuanlian;ZHANG Jian;LIAN Peijun;CHEN Mengmeng;ZHENG Hailiang(College of Physics and Electronic Engineering,Northwest Normal University,Lanzhou Gansu 730070,China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2021年第2期218-222,共5页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金项目(61561044)
甘肃省自然科学基金项目(20JR10RA077)。
关键词
闪电电场信号
小波去噪
改进小波阈值函数
信噪比
lightning electric field signals
wavelet denoising
improved wavelet threshold function
SNR
