2025_programme: Range-Dependent Source Localization Methods in Shallow-Water environments

• Day: June 16, Monday
    Location / Time: B. ERATO at 18:00-18:20
• Last minutes changes: -
• Session: 07. Inverse Problems in Acoustical Oceanography
  Organiser(s): Julien Bonnel, Stan Dosso
  Chairperson(s): Julien Bonnel, Stan Dosso
• Lecture: Range-Dependent Source Localization Methods in Shallow-Water environments
  Paper ID: 2143
  Author(s): Jing Guo, Juan Zeng, Li Ma
  Presenter: Juan Zeng
  Abstract: In shallow-water environments, spatiotemporal variations in environmental parameters, particularly the sound speed profile (SSP), can lead to the model mismatch problem, which is a major challenge for matched-field processing (MFP) in passive source localization. Range-dependent variations in sound speed increase the uncertainty in source range estimation, as mismatches in the SSP often cause the localization results to deviate severely from the real source position. In this paper, the sound speed variation in shallow-water environments affected by internal waves and internal tides is analyzed, and two range-dependent equivalent SSP models are proposed. These models are incorporated into the MFP localization algorithm, and both simulation and experimental results, derived from sea trials conducted in the Yellow Sea and South China Sea, validate their effectiveness. Compared to traditional MFP methods, the algorithm based on the proposed range-dependent equivalent SSP model achieves smaller errors in source range estimation, demonstrating that a range-dependent equivalent SSP model is crucial for improving the source range estimation performance of MFP localization algorithms.
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• Corresponding author: Dr Jing Guo
  Affiliation: Key Laboratory of Underwater Acoustic Environment, Institute of Acoustics, Chinese Academy of Sciences, China
  Country: China