Attention Mechanism-based Joint Fiber Event Identification and Location Using Monitoring Data in $\varphi$-OTDR System

An attention mechanism-based joint fiber event identification and location scheme is proposed. Based on the dataset collected in the deployed fiber system, simulation results show that the scheme achieves high-precision fiber event identification and location.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676583
Primary Topic
Optical Network Technologies
Type
article
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Attention Mechanism-based Joint Fiber Event Identification and Location Using Monitoring Data in $\varphi$-OTDR System

Qian Hu, Rentao Gu, Jiawei Zhang, Zhiqun Gu et al.
Optical Network Technologies
article

Attention Mechanism-based Joint Fiber Event Identification and Location Using Monitoring Data in $\varphi$-OTDR System

Qian Hu, Rentao Gu, Jiawei Zhang, Zhiqun Gu, Yuhang Zhou, Yi Ding, Yuefeng Ji, Xia Gao
article en

Abstract

An attention mechanism-based joint fiber event identification and location scheme is proposed. Based on the dataset collected in the deployed fiber system, simulation results show that the scheme achieves high-precision fiber event identification and location.

Vol. 22
Beijing University of Posts and Telecommunications (CN), China Telecom (China) (CN), China Telecom (CN), State Key Laboratory of Information Photonics and Optical Communications
Openalex Percentile: Top 87%
Optical Network Technologies
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