DocumentCode
171973
Title
Three direction finding methods of thunder source using microphone array
Author
Han Zhang ; Shanqiang Gu ; Wanxing Feng ; Yuhe Fang ; Biwu Yan ; Juntian Guo ; Ziqiang Zhou
Author_Institution
Wuhan NARI Co., Ltd., State Grid Electr. Power Res. Inst., Wuhan, China
fYear
2014
fDate
11-18 Oct. 2014
Firstpage
614
Lastpage
619
Abstract
In this paper, we have investigated three methods, namely Generalized Cross-Correlation (GCC), Frequency Domain Beam-forming and Approximated Maximum Likelihood (AML), for estimating the direction of thunders measured with a microphone array. The performances of these methods are compared by simulations in terms of the error of angle estimation and also by signal experiments in terms of bi-dimensional representation, coherence measure and error point number for lightning channels measured simultaneously by a high-speed video camera. Comparison results show that both Beam-forming and AML obtain more accurate and complete direction finding than GCC, which is extremely consistent with the reconstructed lightning channel from the camera data. Moreover, Beam-forming and AML obtain additional information regarding thunder sources on top of the lightning channel, which cannot be observed in the camera data due to obstruction. However, the computation of AML is in general much more complicated than the other two methods. Therefore, we conclude that the Frequency Domain Beam-forming based technique suits future practical applications.
Keywords
array signal processing; atmospheric techniques; lightning; maximum likelihood estimation; microphone arrays; video cameras; AML; GCC; approximated maximum likelihood estimation; bidimensional representation; coherence measure; direction finding; eneralized cross-correlation; error point number; frequency domain beamforming; high-speed video camera; microphone array; thunder source; AML; Beam-forming; GCC; channel geometry; direction finding; lightning; thunder;
fLanguage
English
Publisher
ieee
Conference_Titel
Lightning Protection (ICLP), 2014 International Conference o
Conference_Location
Shanghai
Type
conf
DOI
10.1109/ICLP.2014.6973197
Filename
6973197
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