Paper Abstract and Keywords |
Presentation |
2021-10-14 10:30
[Poster Presentation]
World-fastest operation of OCDR without spatial resolution deterioration Tomoya Miyamae, Zhu Guangtao, Takaki Kiyozumi (YNU), Kohei Noda (Tokyo Tech/YNU), Heeyoung Lee (SIT), Kentaro Nakamura (Tokyo Tech), Yosuke Mizuno (YNU) OFT2021-23 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recent rapid growth of optical fiber communication has led to a significant demand for health monitoring technology of optical fiber communication networks. One of the promising techniques that can be used to detect defects and/or breakage points along a fiber is optical correlation-domain reflectometry (OCDR), which can measure the reflected power distributions along an optical fiber. The OCDR system has been simplified from several aspects; for instance, an acousto-optic modulator for optical heterodyne detection or a reference path was removed from the setup. However, further simplification of the system is required for its practical applications. To date, we have developed a simplified OCDR that does not utilize an electrical spectrum analyzer (ESA) for processing electrical signals, and experimentally verified that the ESA-free system shows stable and high-speed operation (repetition rate: up to 100 Hz) even with a high spatial resolution, suggesting the possibility of higher-speed operation. In this work, the ESA-free OCDR was used to measure the reflected power distributions at a repetition rate of 1 kHz, which is 10 times faster than the highest value ever reported. We also demonstrate that our system can mitigate the trade-off relationship between operating speed and spatial resolution, which will boost the potential applicability of OCDR. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
optical fiber sensors / optical correlation-domain reflectometry(OCDR) / distributed reflectivity measurement / high-speed operation / spatial resolution / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 199, OFT2021-23, pp. 9-12, Oct. 2021. |
Paper # |
OFT2021-23 |
Date of Issue |
2021-10-07 (OFT) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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OFT2021-23 |
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