Publication detail

Distributed Acoustic Sensing of Sounds in Audible Spectrum in Realistic Optical Cable Infrastructure

DEJDAR, P. MOKRÝ, O. MÜNSTER, P. HORVÁTH, T. SCHIMMEL, J.

Original Title

Distributed Acoustic Sensing of Sounds in Audible Spectrum in Realistic Optical Cable Infrastructure

Type

journal article in Web of Science

Language

English

Original Abstract

Distributed acoustic sensing (DAS) is an emerging technology with diverse applications in monitoring infrastructure, security systems, and environmental sensing. This study presents a dataset comprising acoustic vibration patterns recorded by a commercial DAS system, providing valuable insights into the acoustic sensitivity of optical fibers. The data are crucial for evaluating the performance of DAS systems, particularly in scenarios related to security and eavesdropping. The dataset offers the possibility to develop and test algorithms aimed at enhancing signal-to-noise ratio (SNR), detecting anomalies, and improving speech intelligibility. Additionally, this resource facilitates the validation of de-noising techniques through the calculation of the speech transmission index (STI). The experimental setup, measurement procedures, and the characteristics of the DAS system employed are comprehensively documented for researchers in the field of optical fiber sensing and signal processing.

Keywords

Distributed Acoustic Sensing; Fiber Optics; Fiber Sensors; Optical Communications; Speech Intelligibility Performance

Authors

DEJDAR, P.; MOKRÝ, O.; MÜNSTER, P.; HORVÁTH, T.; SCHIMMEL, J.

Released

13. 5. 2025

Publisher

Springer Nature

ISBN

2052-4463

Periodical

Scientific data

Year of study

12

Number

5

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

8

Pages count

8

URL

Full text in the Digital Library

BibTex

@article{BUT197888,
  author="Petr {Dejdar} and Ondřej {Mokrý} and Petr {Münster} and Tomáš {Horváth} and Jiří {Schimmel}",
  title="Distributed Acoustic Sensing of Sounds in Audible Spectrum in Realistic Optical Cable Infrastructure",
  journal="Scientific data",
  year="2025",
  volume="12",
  number="5",
  pages="1--8",
  doi="10.1038/s41597-025-05119-0",
  issn="2052-4463",
  url="https://www.nature.com/articles/s41597-025-05119-0"
}