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Sensors 2017, 17(8), 1870; https://doi.org/10.3390/s17081870

Signal-to-Noise Ratio Enhancement Based on Empirical Mode Decomposition in Phase-Sensitive Optical Time Domain Reflectometry Systems

School of Information Science and Engineering and Shandong Provincial Key Laboratory of Laser Technology and Application, Shandong University, Jinan 250100, China
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Received: 30 July 2017 / Revised: 11 August 2017 / Accepted: 12 August 2017 / Published: 14 August 2017
(This article belongs to the Section Physical Sensors)
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Abstract

We propose a novel denoising method based on empirical mode decomposition (EMD) to improve the signal-to-noise ratio (SNR) for vibration sensing in phase-sensitive optical time domain reflectometry (φ-OTDR) systems. Raw Rayleigh backscattering traces are decomposed into a series of intrinsic mode functions (IMFs) and a residual component using an EMD algorithm. High frequency noise is eliminated by removing several IMFs at the position without vibration selected by the Pearson correlation coefficient (PCC). When the pulse width is 50 ns, the SNR of location information for the vibration events of 100 Hz and 1.2 kHz is increased to as high as 42.52 dB and 39.58 dB, respectively, with a 2 km sensing fiber, which demonstrates the excellent performance of this new method. View Full-Text
Keywords: vibration location extraction; phase-sensitive optical time domain reflectometry; empirical mode decomposition; Pearson correlation coefficient; signal-to-noise ratio vibration location extraction; phase-sensitive optical time domain reflectometry; empirical mode decomposition; Pearson correlation coefficient; signal-to-noise ratio
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Qin, Z.; Chen, H.; Chang, J. Signal-to-Noise Ratio Enhancement Based on Empirical Mode Decomposition in Phase-Sensitive Optical Time Domain Reflectometry Systems. Sensors 2017, 17, 1870.

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