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Performance Optimization for Phase-Sensitive OTDR Sensing System Based on Multi-Spatial Resolution Analysis

This paper proposes and demonstrates a phase-sensitive optical time domain reflectometry (Φ-OTDR) sensing system with multi-spatial resolution (MSR) analysis property. With both theoretical analysis and an experiment, the qualitative relationship between spatial resolution (SR), signal-to-noise rati...

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Detalles Bibliográficos
Autores principales: Shan, Yuanyuan, Ji, Wenbin, Wang, Qing, Cao, Lu, Wang, Feng, Zhang, Yixin, Zhang, Xuping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338893/
https://www.ncbi.nlm.nih.gov/pubmed/30591640
http://dx.doi.org/10.3390/s19010083
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author Shan, Yuanyuan
Ji, Wenbin
Wang, Qing
Cao, Lu
Wang, Feng
Zhang, Yixin
Zhang, Xuping
author_facet Shan, Yuanyuan
Ji, Wenbin
Wang, Qing
Cao, Lu
Wang, Feng
Zhang, Yixin
Zhang, Xuping
author_sort Shan, Yuanyuan
collection PubMed
description This paper proposes and demonstrates a phase-sensitive optical time domain reflectometry (Φ-OTDR) sensing system with multi-spatial resolution (MSR) analysis property. With both theoretical analysis and an experiment, the qualitative relationship between spatial resolution (SR), signal-to-noise ratio (SNR) and the length of the vibration region has been revealed, which indicates that choosing a suitable SR to analyze the vibration event can effectively enhance the SNR of a sensing system. The proposed MSR sensing scheme offers a promising solution for the performance optimization of Φ-OTDR sensing systems, which can restore vibration events of different disturbance range with optimum SNR in merely a single measurement while maintaining the same detectable frequency range.
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spelling pubmed-63388932019-01-23 Performance Optimization for Phase-Sensitive OTDR Sensing System Based on Multi-Spatial Resolution Analysis Shan, Yuanyuan Ji, Wenbin Wang, Qing Cao, Lu Wang, Feng Zhang, Yixin Zhang, Xuping Sensors (Basel) Article This paper proposes and demonstrates a phase-sensitive optical time domain reflectometry (Φ-OTDR) sensing system with multi-spatial resolution (MSR) analysis property. With both theoretical analysis and an experiment, the qualitative relationship between spatial resolution (SR), signal-to-noise ratio (SNR) and the length of the vibration region has been revealed, which indicates that choosing a suitable SR to analyze the vibration event can effectively enhance the SNR of a sensing system. The proposed MSR sensing scheme offers a promising solution for the performance optimization of Φ-OTDR sensing systems, which can restore vibration events of different disturbance range with optimum SNR in merely a single measurement while maintaining the same detectable frequency range. MDPI 2018-12-27 /pmc/articles/PMC6338893/ /pubmed/30591640 http://dx.doi.org/10.3390/s19010083 Text en © 2018 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
Shan, Yuanyuan
Ji, Wenbin
Wang, Qing
Cao, Lu
Wang, Feng
Zhang, Yixin
Zhang, Xuping
Performance Optimization for Phase-Sensitive OTDR Sensing System Based on Multi-Spatial Resolution Analysis
title Performance Optimization for Phase-Sensitive OTDR Sensing System Based on Multi-Spatial Resolution Analysis
title_full Performance Optimization for Phase-Sensitive OTDR Sensing System Based on Multi-Spatial Resolution Analysis
title_fullStr Performance Optimization for Phase-Sensitive OTDR Sensing System Based on Multi-Spatial Resolution Analysis
title_full_unstemmed Performance Optimization for Phase-Sensitive OTDR Sensing System Based on Multi-Spatial Resolution Analysis
title_short Performance Optimization for Phase-Sensitive OTDR Sensing System Based on Multi-Spatial Resolution Analysis
title_sort performance optimization for phase-sensitive otdr sensing system based on multi-spatial resolution analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338893/
https://www.ncbi.nlm.nih.gov/pubmed/30591640
http://dx.doi.org/10.3390/s19010083
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