2023_programme: Underwater acoustic source localization based on a vector sensor system: A field case study

• Session: 04. Inverse Problems in Acoustical Oceanography
  Organiser(s): Julien Bonnel and Stan Dosso
• Lecture: Underwater acoustic source localization based on a vector sensor system: A field case study
  Paper ID: 1884
  Author(s): Zhu Xiaoyu, Dong Hefeng, Zhang Guosong
  Presenter: Dong Hefeng
  Abstract: Underwater acoustic source localization is an important task for many marine applications. Compared to the conventional hydrophone array, an underwater acoustic vector sensor can simultaneously measure the acoustic pressure along with particle motions in three orthogonal directions. An experiment designed for source localization was conducted using a vector sensor in addition to a hydrophone array in Trondheim Fjord, Norway in 2022. In this paper, the experiment and the analysis results of the collected data are presented. In the experiment, NTNU research vessel R/V Gunnerus was used to tow a broadband transducer that transmitted multitone signals from 400 to 3000 Hz. The data collected by the hydrophone array are used for training a self-supervised machine learning model which can provide the source range, while the data collected by the vector sensor are post-processed to provide the azigram showing the source direction. The results are compared well with the known source location provided by the GPS system of the vessel, which illustrates the utility of the vector sensor system for source localization.
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• Corresponding author: Dr Hefeng Dong
  Affiliation: Norwegian University of Science and Technology
  Country: Norway
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