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

Wanxin Zhao; Sen Shen; Vaigai N Yokar; Xiaoguang Zhang; Lixia Xi; Shuangyi Yan; Dimitra Simeonidou

doi:10.1109/ACP66871.2025.11350013

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

Wanxin Zhao
, Sen Shen
, Vaigai N Yokar
, Xiaoguang Zhang
, Lixia Xi
, Shuangyi Yan^*
, Dimitra Simeonidou

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

2 Citations (Scopus)

18 Downloads (Pure)

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 around 200-ns jitter enables precise localization.

Original language	English
Title of host publication	Asia Communications and Photonics Conference 2025
Subtitle of host publication	ACP 2025
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-5
Number of pages	5
ISBN (Electronic)	9798350357400
ISBN (Print)	9798350357417
DOIs	https://doi.org/10.1109/ACP66871.2025.11350013
Publication status	Published - 28 Jan 2026
Event	Asia Communications and Photonics Conference 2025 - Suzhou, China Duration: 5 Nov 2025 → 8 Nov 2025 https://acpconf.com/

Publication series

Name	Asia Communications and Photonics Conference
Publisher	IEEE
ISSN (Print)	2162-108X
ISSN (Electronic)	2162-1098

Conference

Conference	Asia Communications and Photonics Conference 2025
Abbreviated title	ACP 2025
Country/Territory	China
City	Suzhou
Period	5/11/25 → 8/11/25
Internet address	https://acpconf.com/

Bibliographical note

Access to Document

10.1109/ACP66871.2025.11350013

Full-text PDF (accepted manuscript)
This is the accepted author manuscript (AAM) of the article which has been made Open Access under the University of Bristol's Scholarly Works Policy. The final published version (Version of Record) can be found on the publisher's website. The copyright of any third-party content, such as images, remains with the copyright holder.
Accepted author manuscript, 1.12 MBLicence: CC BY

Handle.net

Persistent link

Cite this

Zhao, W., Shen, S., Yokar, V. N., Zhang, X., Xi, L., Yan, S., & Simeonidou, D. (2026). Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System. In Asia Communications and Photonics Conference 2025: ACP 2025 (pp. 1-5). (Asia Communications and Photonics Conference). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ACP66871.2025.11350013

Zhao, Wanxin ; Shen, Sen ; Yokar, Vaigai N et al. / Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System. Asia Communications and Photonics Conference 2025: ACP 2025. Institute of Electrical and Electronics Engineers (IEEE), 2026. pp. 1-5 (Asia Communications and Photonics Conference).

@inproceedings{a2b6a2cbb9094a049910f297872a9507,

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

abstract = "We present a CC-CNN localization algorithm for vibration detection over Bristol{\textquoteright}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 around 200-ns jitter enables precise localization.",

author = "Wanxin Zhao and Sen Shen and Yokar, \{Vaigai N\} and Xiaoguang Zhang and Lixia Xi and Shuangyi Yan and Dimitra Simeonidou",

note = "Copyright {\textcopyright} 2025, IEEE; Asia Communications and Photonics Conference 2025, ACP 2025 ; Conference date: 05-11-2025 Through 08-11-2025",

year = "2026",

month = jan,

day = "28",

doi = "10.1109/ACP66871.2025.11350013",

language = "English",

isbn = "9798350357417",

series = "Asia Communications and Photonics Conference",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "1--5",

booktitle = "Asia Communications and Photonics Conference 2025",

address = "United States",

url = "https://acpconf.com/",

}

Zhao, W, Shen, S , Yokar, VN, Zhang, X, Xi, L, Yan, S & Simeonidou, D 2026, Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System. in Asia Communications and Photonics Conference 2025: ACP 2025. Asia Communications and Photonics Conference, Institute of Electrical and Electronics Engineers (IEEE), pp. 1-5, Asia Communications and Photonics Conference 2025, Suzhou, China, 5/11/25. https://doi.org/10.1109/ACP66871.2025.11350013

Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System. / Zhao, Wanxin; Shen, Sen ; Yokar, Vaigai N et al.
Asia Communications and Photonics Conference 2025: ACP 2025. Institute of Electrical and Electronics Engineers (IEEE), 2026. p. 1-5 (Asia Communications and Photonics Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System

AU - Zhao, Wanxin

AU - Shen, Sen

AU - Yokar, Vaigai N

AU - Zhang, Xiaoguang

AU - Xi, Lixia

AU - Yan, Shuangyi

AU - Simeonidou, Dimitra

PY - 2026/1/28

Y1 - 2026/1/28

N2 - 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 around 200-ns jitter enables precise localization.

AB - 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 around 200-ns jitter enables precise localization.

U2 - 10.1109/ACP66871.2025.11350013

DO - 10.1109/ACP66871.2025.11350013

M3 - Conference Contribution (Conference Proceeding)

SN - 9798350357417

T3 - Asia Communications and Photonics Conference

SP - 1

EP - 5

BT - Asia Communications and Photonics Conference 2025

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - Asia Communications and Photonics Conference 2025

Y2 - 5 November 2025 through 8 November 2025

ER -

Zhao W, Shen S , Yokar VN, Zhang X, Xi L, Yan S et al. Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System. In Asia Communications and Photonics Conference 2025: ACP 2025. Institute of Electrical and Electronics Engineers (IEEE). 2026. p. 1-5. (Asia Communications and Photonics Conference). doi: 10.1109/ACP66871.2025.11350013

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

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Handle.net

Fingerprint

Cite this