Skip to main navigation Skip to search Skip to main content

Detection-Localization-Identification of Vibrations over Long Distance SSMF with Coherent-OTDR

  • Elie Awwad
  • , Christian Dorize
  • , Sterenn Guerrier
  • , Jeremie Renaudier

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a novel interrogation technique for Distributed Acoustic Sensing (DAS) and demonstrate the detection and recognition of multiple vibration events over 50 km of SSMF. A differential-phase optical time-domain reflectometry (\Delta \phi-OTDR) approach is used. At the transmitter side, a continuous ultra-narrow-linewidth laser is modulated with polarization-multiplexed orthogonal binary sequences and at the receiver side, the back-scattered signal is captured through a polarization-diversity coherent mixer in a self-homodyne configuration. The detection of the full optical field vector and the use of an ultra-narrow-linewidth laser source enhance the sensitivity of the interrogating solution. A comparison of the experimental results to a simulation model is developed to better understand the noise limits. A low-complexity localization technique based on a multi-resolution approach is also presented. Major results include the identification of an engine noise, paving the way for numerous smart-city/industrial monitoring applications over deployed telecom fibres.

Original languageEnglish
Article number9089217
Pages (from-to)3089-3095
Number of pages7
JournalJournal of Lightwave Technology
Volume38
Issue number12
DOIs
Publication statusPublished - 15 Jun 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Optical fibre sensors
  • optical fibre networks

Fingerprint

Dive into the research topics of 'Detection-Localization-Identification of Vibrations over Long Distance SSMF with Coherent-OTDR'. Together they form a unique fingerprint.

Cite this