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Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm

In order to enhance the signal-to-noise ratio (SNR) of a distributed optical fiber vibration sensor based on coherent optical time domain reflectometry (COTDR), a high extinction ratio cascade structure of an acousto-optic modulator and semiconductor optical amplifier is applied. The prior time-freq...

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Autores principales: Wang, Yu, Zou, Jie, Xu, Yuelin, Chen, Yu, Liu, Xin, Bai, Qing, Jin, Baoquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181267/
https://www.ncbi.nlm.nih.gov/pubmed/32252485
http://dx.doi.org/10.3390/s20072000
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author Wang, Yu
Zou, Jie
Xu, Yuelin
Chen, Yu
Liu, Xin
Bai, Qing
Jin, Baoquan
author_facet Wang, Yu
Zou, Jie
Xu, Yuelin
Chen, Yu
Liu, Xin
Bai, Qing
Jin, Baoquan
author_sort Wang, Yu
collection PubMed
description In order to enhance the signal-to-noise ratio (SNR) of a distributed optical fiber vibration sensor based on coherent optical time domain reflectometry (COTDR), a high extinction ratio cascade structure of an acousto-optic modulator and semiconductor optical amplifier is applied. The prior time-frequency analysis and least mean square error algorithm are adopted in the COTDR system for amplitude demodulation and phase demodulation, in order to improve the SNR by noise elimination. The experimental results show that the adaptive filter based on the least mean square error algorithm could realize the extraction of a three-order sinusoidal harmonic signal from strong background noise along the optical fiber and the SNR improvement from 10.4 dB to 42.2 dB. The proposed demodulation algorithm is suitable for the detection of vibration signals with characteristic frequencies in the application of acoustic fault diagnosis for electromechanical devices.
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spelling pubmed-71812672020-04-28 Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm Wang, Yu Zou, Jie Xu, Yuelin Chen, Yu Liu, Xin Bai, Qing Jin, Baoquan Sensors (Basel) Article In order to enhance the signal-to-noise ratio (SNR) of a distributed optical fiber vibration sensor based on coherent optical time domain reflectometry (COTDR), a high extinction ratio cascade structure of an acousto-optic modulator and semiconductor optical amplifier is applied. The prior time-frequency analysis and least mean square error algorithm are adopted in the COTDR system for amplitude demodulation and phase demodulation, in order to improve the SNR by noise elimination. The experimental results show that the adaptive filter based on the least mean square error algorithm could realize the extraction of a three-order sinusoidal harmonic signal from strong background noise along the optical fiber and the SNR improvement from 10.4 dB to 42.2 dB. The proposed demodulation algorithm is suitable for the detection of vibration signals with characteristic frequencies in the application of acoustic fault diagnosis for electromechanical devices. MDPI 2020-04-02 /pmc/articles/PMC7181267/ /pubmed/32252485 http://dx.doi.org/10.3390/s20072000 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Yu
Zou, Jie
Xu, Yuelin
Chen, Yu
Liu, Xin
Bai, Qing
Jin, Baoquan
Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm
title Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm
title_full Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm
title_fullStr Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm
title_full_unstemmed Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm
title_short Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm
title_sort optical fiber vibration sensor using least mean square error algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181267/
https://www.ncbi.nlm.nih.gov/pubmed/32252485
http://dx.doi.org/10.3390/s20072000
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