Abstract | ||
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Phase-sensitive optical time-domain reflectometry (Φ-OTDR), which utilizes the phase information of Rayleigh scattered lightwave inside optical fiber, could turn a fiber cable into a massive sensor array for distributed acoustic sensing (DAS), i. e., an emerging infrastructure for Internet of Things. Given a certain fiber length, there are trade-offs among the sensing bandwidth, the sensitivity and the spatial resolution. In this paper, the concept of linearization and Golay pulse-coding for heterodyne Φ-OTDR are proposed and experimentally verified for the first time. Firstly we gave a full theoretical treatment on how an intensity-coded yet phase-retrieved Φ-OTDR can be built up as a fully linear system, therefore a significant enhancement of signal to noise ratio becomes viable and the sensing bandwidth keeps equal the four-times averaging case. Secondly in the proof-of-concept experiment, submeter gauge length and nano-strain resolution were realized with 10 km sensing range, in other words, more than ten thousand sensitive sensing units were realized along the fiber. This work makes a significant step towards high-performance DAS with orders-of-magnitude performance enhancement. |
Year | DOI | Venue |
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2019 | 10.1109/jiot.2018.2869474 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Optical fiber sensors,Spatial resolution,Signal to noise ratio,Encoding,Optical fibers,Optical fiber cables | Optical time-domain reflectometer,Optical fiber,Optical fiber cable,Computer science,Sensor array,Signal-to-noise ratio,Optics,Distributed acoustic sensing,Heterodyne,Reflectometry,Distributed computing | Journal |
Volume | Issue | ISSN |
6 | 4 | 2327-4662 |
Citations | PageRank | References |
1 | 0.48 | 0 |
Authors | ||
10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zinan Wang | 1 | 1 | 1.83 |
Bin Zhang | 2 | 1 | 0.48 |
Ji Xiong | 3 | 1 | 0.82 |
Yun Fu | 4 | 802 | 48.11 |
Shengtao Lin | 5 | 1 | 0.82 |
Jialin Jiang | 6 | 1 | 1.83 |
Yongxiang Chen | 7 | 1 | 1.16 |
Y. Wu | 8 | 1178 | 139.36 |
Qingyang Meng | 9 | 4 | 2.95 |
Y. Rao | 10 | 4 | 6.49 |