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Related Experiment Videos

Localization using Bartlett matched-field processor sidelobes

Thode1, Kuperman, D'Spain

  • 1Marine Physical Laboratory, Scripps Institution of Oceanography, San Diego, California 92093-0205, USA.

The Journal of the Acoustical Society of America
|January 21, 2000
PubMed
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Ambiguity surface sidelobes from matched-field processing (MFP) form predictable trajectories. Analyzing these range-frequency and range-depth trajectories improves source localization accuracy, outperforming simple averaging methods.

Area of Science:

  • Acoustics
  • Signal Processing
  • Oceanography

Background:

  • Matched-field processing (MFP) is a key technique for acoustic source localization.
  • Ambiguity surfaces in Bartlett MFP exhibit sidelobes whose positions vary with frequency.
  • Understanding sidelobe behavior is crucial for improving localization accuracy.

Purpose of the Study:

  • To investigate the frequency-dependent behavior of ambiguity surface sidelobes in Bartlett MFP.
  • To explore the physical interpretation of sidelobe trajectories using waveguide invariant theory.
  • To demonstrate methods for exploiting sidelobe properties to enhance source range estimation.

Main Methods:

  • Analysis of sidelobe trajectories in the range-frequency and range-depth planes.
  • Application of waveguide invariant theory to explain sidelobe behavior.

Related Experiment Videos

  • Simulations, experimental data (broadband source tows), and bioacoustic data (blue whale vocalization) were used.
  • Development of range estimators combining gradient and Radon transform information.

    • Main Results:

    • Sidelobe trajectories converge to the true source range under specific environmental conditions.
    • Upward-refracting sound-speed profiles lead to asymptotic convergence of trajectories.
    • Sidelobe trajectories were observed in simulations, experiments, and natural vocalizations.
    • Novel range estimators showed improved peak-to-sidelobe ratios compared to incoherent averaging.

    Conclusions:

    • The predictable trajectories of ambiguity surface sidelobes offer valuable information for source localization.
    • Exploiting these trajectories through advanced signal processing techniques can significantly improve range estimation accuracy.
    • The findings have implications for acoustic monitoring and underwater acoustic signal processing.