Open AccessAn Improved BEMD Method for Denoising the Phase-OTDR Signal
Author(s) -
Hao Wu,
Jin Yu,
Yanzhu Hu,
Song Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/2/022061
Subject(s) - hilbert–huang transform , optical time domain reflectometer , envelope (radar) , signal (programming language) , phase (matter) , computer science , noise reduction , signal processing , algorithm , optics , mathematics , artificial intelligence , physics , white noise , digital signal processing , fiber optic sensor , telecommunications , optical fiber , quantum mechanics , programming language , radar , graded index fiber , computer hardware
Empirical mode decomposition (EMD) is often used for the processing of non-linear and non-stationary signals, but it needs further improvement in some specific application scenarios. According to the characteristics of Phase-OTDR signal, this paper improves the two-dimensional empirical mode (BEMD) and uses it to denoise the Phase-OTDR signal. The improved method takes into account the inconsistency of the correlation between the time axis and the space axis, and uses the spatial resolution of the Phase-OTDR signal as the minimum interval to enter the envelope surface structure. At the same time, the boundary is smoothed during the reconstruction of the sub-envelope surface. Experiments on the noisy Phase-OTDR signal verified the effectiveness of the improved method in this paper.