2025_programme: Distributed acoustic sensing for ocean applications

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  • Day: June 17, Tuesday
      Location / Time: B. ERATO at 12:00-12:20
  • Last minutes changes: -
  • Session: 19. Uncertainty quantification and machine learning in signal processing
    Organiser(s): Angeliki Xenaki, Zoi-Heleni Michalopoulou
    Chairperson(s): Angeliki Xenaki, Zoi-Heleni Michalopoulou
  • Lecture: Distributed acoustic sensing for ocean applications [Invited]
    Paper ID: 2152
    Author(s): Angeliki Xenaki, Peter Gerstoft, Ethan Williams, Shima Abadi
    Presenter: Angeliki Xenaki
    Abstract: Extensive monitoring of acoustic activities is important for many fields, including biology, security, oceanography and Earth science.\nDistributed acoustic sensing (DAS) is an evolving technique for continuous, wide-coverage measurements of mechanical vibrations, which is suited to ocean applications.\nDAS illuminates an optical fiber with laser pulses and measures the backscattered wave due to small random variations in the refractive index of the material.\nSpecifically, DAS uses coherent optical interferometry to measure the phase difference of the backscattered wave from adjacent locations along the fiber.\nExternal stimuli, such as mechanical strain due to acoustic wavefields impinging on the fiber-optic cable, modulate the backscattered wave.\nHence, the differential phase measurements of the optical backscatter are proportional to the underlying physical quantities of the surrounding wavefield.\nContinuous measurement of the backscattered electromagnetic signal provides a distributed sensing modality for the external acoustic wavefield that extends spatially along the fiber.\nWe provide an overview of DAS technology and detail the underlying physics, from electromagnetic to mechanical and eventually acoustic quantities. \nWe explain the effect of DAS acquisition parameters in signal processing and show the potential of DAS for sound source detection on data collected from the Ocean Observatories Initiative Regional Cabled Array~\url{https://doi.org/10.58046/5J60-FJ89}.
  • Corresponding author: Dr Angeliki Xenaki
    Affiliation: IACM-FORTH
    Country: Greece

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