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Open AccessArticle

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

by Yuanyuan Shan 1,2, Wenbin Ji 1,2, Qing Wang 1,2, Lu Cao 1,2, Feng Wang 1,2, Yixin Zhang 1,2,3,* and Xuping Zhang 1,2,3,*
1
The Key Laboratory of Intelligent Optical Sensing and Manipulation, Ministry of Education, Nanjing 210093, China
2
Institute of Optical Communication Engineering, Nanjing University, Nanjing 210093, China
3
The Key Laboratory of Modern Acoustics, Nanjing University, Nanjing 210093, China
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(1), 83; https://doi.org/10.3390/s19010083
Received: 9 November 2018 / Revised: 20 December 2018 / Accepted: 22 December 2018 / Published: 27 December 2018
(This article belongs to the Special Issue Distributed Optical Fiber Sensing)
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. View Full-Text
Keywords: phase-sensitive optical time domain reflectometry (Φ-OTDR); multi-spatial resolution (MSR) analysis; signal-to-noise ratio (SNR) phase-sensitive optical time domain reflectometry (Φ-OTDR); multi-spatial resolution (MSR) analysis; signal-to-noise ratio (SNR)
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Shan, Y.; Ji, W.; Wang, Q.; Cao, L.; Wang, F.; Zhang, Y.; Zhang, X. Performance Optimization for Phase-Sensitive OTDR Sensing System Based on Multi-Spatial Resolution Analysis. Sensors 2019, 19, 83.

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