Distinguishing different lightning events based on wavelet packet transform of magnetic field signals
Distinguishing different lightning events based on wavelet packet transform of magnetic field signals
复制标题
基于磁场信号小波包变换区分不同闪电事件
DOI：
10.1016/j.jastp.2020.105477
复制
发表时间：
2020-12
影响因子：
1.9
通讯作者：
Jiaying Gu
中科院分区：
文献类型：
--
作者：
Shiye Huang;Weiqi Kong;Jing Yang;Qilin Zhang;Nianpeng Yao;Bingzhe Dai;Jiaying Gu
本文应用小波包变换（WPT）分析了云脉冲、回波和阶跃前导三种闪电事件的时频特征，提出了一种新的基于小波包变换的识别方法。本文使用的磁场数据是南京闪电定位网络在2018年记录的。首先给出了三种典型闪电事件的小波频谱，发现三种典型闪电事件的频谱范围不同；阶梯式先导的主辐射频率最高，回程的主辐射频率最低。利用WPT分析了232个云脉冲、876个回击笔画和373个阶跃前导，研究了它们的时频特性。统计结果表明，云脉冲、回程行程和阶跃前导分别在9 ~ 56 kHz、2 ~ 14 kHz和52 ~ 236 kHz的频率范围内主要辐射。根据能量分布特点，提出了三种指标来区分不同的雷击事件。结果表明，对回击动作的识别率达91%，对阶跃式引导者的识别率达93%。
In this paper, the wavelet packet transform (WPT) is applied to analyze the time-frequency features of three kinds of lightning events (the cloud pulse, the return stroke and the stepped leader) and a new identification method based on WPT is proposed. The magnetic-field data used in this paper were recorded by Nanjing Lightning Location Network in 2018. Firstly, the wavelet spectra of three typical lightning events are given and it is found that spectral ranges of these three events are different. The predominant radiation frequency of the stepped leader is the highest and that of the return strokes is the lowest. A total of 232 cloud pulses, 876 return strokes and 373 stepped leaders are analyzed by WPT in order to investigate their behavior in time-frequency domain. The statistical result shows that the cloud pulse, return stroke and stepped leader radiate predominantly in the frequency range 9–56 kHz, 2–14 kHz and 52–236 kHz, respectively. According to the energy distribution characteristics, three indices are proposed to distinguish the different lightning events. It is found that the recognition rate of return stroke is 91% and that of stepped leader is up to 93%.
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DOI：
10.1109/jrproc.1957.278476
发表时间：
1957-06
期刊：
Proceedings of the IRE
影响因子：
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作者：
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通讯作者：
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DOI：
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发表时间：
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期刊：
Procedia Technology
影响因子：
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作者：
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通讯作者：
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影响因子：
1.6
作者：
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通讯作者：
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DOI：
10.1016/s1364-6826(02)00313-9
发表时间：
2003-02
影响因子：
1.9
作者：
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通讯作者：
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影响因子：
8.2
作者：
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通讯作者：
GOLDSTEIN, RM