Single-Ended > 100-km Distributed Vibration Sensor Based on OFDR Using Pearson Correlation Coefficient

Distributed optical fiber vibration sensor (DOFVS) is an ideal technology for integrated sensing and communication in an optical fiber (ISAC-OF), which can be widely applied to urban structure health monitoring, ocean seismic detection, and pipelines/cable/border safety monitoring. In this article, we present a single-ended > 100-km distributed vibration sensor based on optical frequency-domain reflectometry (OFDR) by detecting Rayleigh backsca- ttering change that is evaluated by the Pearson correlation coefficient (Pearson-CC). By using a simple internal modula- tion OFDR system without any amplifier, specialty optical fiber, and complex modulation techniques, vibration events can be located by detecting changepoints in step form in the Pearson-CC, and the amplitude of vibration events is proportional to the differential Pearson-CC. A pruned exact linear time (PELT) algorithm is performed in the Pearson-CC along fiber under test (FUT) to detect all changepoints. In experiments, we achieve distributed vibration sensing (DVS) with a range of 100.9 km, a sensing spatial resolution of 15.3 m, and a strain resolution of 868 p<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>. The differential Pearson-CC and amplitude of the vibration event have a good linear relationship, whose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</i>-square reaches 0.9993. We also successfully located two simultaneous vibration events over 100-km fiber.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-01
DOI
https://doi.org/10.1109/jsen.2025.3554542
Citations
5
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
6.07

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article

Single-Ended > 100-km Distributed Vibration Sensor Based on OFDR Using Pearson Correlation Coefficient

Junfeng Jiang, Jingyu Deng, Yuanyao Li, Haohan Guo et al.
5 citations
IEEE Sensors Journal
Advanced Sensor and Control Systems
6.07
article

Single-Ended > 100-km Distributed Vibration Sensor Based on OFDR Using Pearson Correlation Coefficient

Junfeng Jiang, Jingyu Deng, Yuanyao Li, Haohan Guo, Tiegen Liu, Huafang Wang, Zhenyang Ding, Ji Liu, Kun Liu
article en
5 citations

Abstract

Distributed optical fiber vibration sensor (DOFVS) is an ideal technology for integrated sensing and communication in an optical fiber (ISAC-OF), which can be widely applied to urban structure health monitoring, ocean seismic detection, and pipelines/cable/border safety monitoring. In this article, we present a single-ended > 100-km distributed vibration sensor based on optical frequency-domain reflectometry (OFDR) by detecting Rayleigh backsca- ttering change that is evaluated by the Pearson correlation coefficient (Pearson-CC). By using a simple internal modula- tion OFDR system without any amplifier, specialty optical fiber, and complex modulation techniques, vibration events can be located by detecting changepoints in step form in the Pearson-CC, and the amplitude of vibration events is proportional to the differential Pearson-CC. A pruned exact linear time (PELT) algorithm is performed in the Pearson-CC along fiber under test (FUT) to detect all changepoints. In experiments, we achieve distributed vibration sensing (DVS) with a range of 100.9 km, a sensing spatial resolution of 15.3 m, and a strain resolution of 868 p<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>. The differential Pearson-CC and amplitude of the vibration event have a good linear relationship, whose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</i>-square reaches 0.9993. We also successfully located two simultaneous vibration events over 100-km fiber.

IEEE Sensors JournalVol. 25(9)
Tianjin University (CN), Tianjin Institute of Metrological Supervision Testing (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 4%
Advanced Sensor and Control Systems
6.07
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