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Source localization in a time-varying ocean waveguide.

Cristiano Soares1, Martin Siderius, Sérgio M Jesus

  • 1Faculdade de Ciências e Tecnologia, Universidade do Algarve, Faro, Portugal. csoares@ualg.pt

The Journal of the Acoustical Society of America
|November 15, 2002
PubMed
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Matched-field processing (MFP) source localization is improved by modeling environmental variability. This method enhances accuracy in ocean acoustics, even at longer ranges and higher frequencies.

Area of Science:

  • Ocean acoustics
  • Signal processing
  • Geophysics

Background:

  • Matched-field processing (MFP) is sensitive to environmental model mismatch, particularly at higher frequencies and longer ranges.
  • Oceanographic variability (time and space) introduces significant challenges for accurate source localization.
  • Existing MFP research often focuses on limited ranges (<5 km) and lower frequencies (<600 Hz) due to these environmental uncertainties.

Purpose of the Study:

  • To develop and validate a robust MFP source localization technique resilient to time-space environmental mismatch.
  • To demonstrate the effectiveness of adaptive environmental parameter estimation prior to MFP.
  • To extend MFP capabilities to longer ranges (up to 10 km) and broader frequency bands.

Main Methods:

Related Experiment Videos

  • Adaptive estimation of environmental parameters using a focalization procedure before MFP.
  • Application of the proposed method to ADVENT'99 sea trial data.
  • Testing across various source-receiver ranges (2, 5, 10 km) and frequency bands (below and above 600 Hz).

    • Main Results:

    • The adaptive focalization procedure significantly improves robustness to environmental mismatch.
    • Precise source localization was achieved up to 10 km range in both tested frequency bands.
    • Successful localization was maintained throughout the 5 km track and most of the 10 km track data.

    Conclusions:

    • Parametrizing the ocean waveguide adequately, including time-dependent sound speed profiles, is crucial for robust long-range, high-frequency MFP.
    • The proposed adaptive estimation technique effectively mitigates environmental mismatch issues in MFP.
    • This approach extends the practical application of MFP in challenging ocean environments.