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Sensors 2017, 17(6), 1380; doi:10.3390/s17061380

Detection Performance Improvement of Distributed Vibration Sensor Based on Curvelet Denoising Method

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: 21 March 2017 / Revised: 11 June 2017 / Accepted: 12 June 2017 / Published: 14 June 2017
(This article belongs to the Section Physical Sensors)
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Abstract

A curvelet denoising method has been proposed to reduce the time domain noise to improve the detection performance in the distributed fiber vibration sensing system based on phase-sensitive optical time domain reflectometry. The raw Rayleigh backscattering traces are regarded as a gray image and the random noise can be eliminated by the curvelet transform; hence, the amplitude difference induced by the external vibration can be extracted. The detection of a vibration event with 10 m spatial resolution along a 4 km single mode fiber is demonstrated. The signal-to-noise ratio (SNR) of location information for 50 Hz and 1 kHz vibration based on this new method increases to as high as 7.8 dB and 8.0 dB, respectively, compared to the conventional method, showing the remarkable denoising capability of this new approach. View Full-Text
Keywords: vibration sensing; phase-sensitive optical time domain reflectometry; curvelet denoising; signal-to-noise ratio vibration sensing; phase-sensitive optical time domain reflectometry; curvelet denoising; signal-to-noise ratio
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Qin, Z.; Chen, H.; Chang, J. Detection Performance Improvement of Distributed Vibration Sensor Based on Curvelet Denoising Method. Sensors 2017, 17, 1380.

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