Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System

We present a CC-CNN localization algorithm for vibration detection over Bristol’s urban fibre network, achieving an 8-km spatial resolution and outperforming pure cross-correlation methods in accuracy and robustness. High-precision time synchronization over the fibre link with aroud 200-ns jitter enables precise localization.

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Published
2025-11-05
DOI
https://doi.org/10.1109/acp66871.2025.11350013
Primary Topic
Network Time Synchronization Technologies
Type
article
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article

Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System

Lixia Xi, Sen Shen, Wanxin Zhao, Vaigai Yokar et al.
Network Time Synchronization Technologies
article

Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System

Lixia Xi, Sen Shen, Wanxin Zhao, Vaigai Yokar, Dimitra Simeonidou, Xiaoguang Zhang, Shuaungyi Yan
article en

Abstract

We present a CC-CNN localization algorithm for vibration detection over Bristol’s urban fibre network, achieving an 8-km spatial resolution and outperforming pure cross-correlation methods in accuracy and robustness. High-precision time synchronization over the fibre link with aroud 200-ns jitter enables precise localization.

Beijing University of Posts and Telecommunications (CN), University of Bristol (GB)
Sustainable cities and communities
Openalex Percentile: Top 28%
Network Time Synchronization Technologies
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