希尔伯特-黄变换
波形
雷电探测
闪电(连接器)
计算机科学
信号(编程语言)
信号处理
雷击
声学
滤波器(信号处理)
电子工程
功率(物理)
电气工程
工程类
物理
电信
避雷器
计算机视觉
雷达
雷雨
气象学
量子力学
程序设计语言
作者
Xiangpeng Fan,Yijun Zhang,P. R. Krehbiel,Yang Zhang,Dong Zheng,Wen Yao,Liangtao Xu,Hengyi Liu,Weitao Lyu
出处
期刊:IEEE Transactions on Geoscience and Remote Sensing
[Institute of Electrical and Electronics Engineers]
日期:2021-01-01
卷期号:59 (1): 86-100
被引量:30
标识
DOI:10.1109/tgrs.2020.2991724
摘要
The application of empirical mode decomposition (EMD) in the analysis and processing of lightning electric field waveforms acquired by the low-frequency e-field detection array (LFEDA) in China has significantly improved the capabilities of the low-frequency/very-low-frequency (LF/VLF) time-of-arrival technique for studying the lightning discharge processes.However, the inherent mode mixing and the endpoint effect of EMD lead to certain problems, such as an inadequate noise reduction capability, the incorrect matching of multistation waveforms, and the inaccurate extraction of pulse information, which limit the further development of the LFEDA's positioning ability.To solve these problems, the advanced ensemble EMD (EEMD) technique is introduced into the analysis of LF/VLF lightning measurements, and a double-sided bidirectional mirror (DBM) extension method is proposed to overcome the endpoint effect of EMD.EEMD can effectively suppress mode mixing, and the DBM extension method proposed in this article can effectively suppress the endpoint effect, thus greatly improving the accuracy of a simulated signal after a 25-500-kHz bandpass
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