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This study presents a new passive sound source localization method for the deep ocean using a two-sensor vertical array. The technique utilizes cross-correlation function matching and analyzes side lobe curves for improved accuracy in underwater acoustics.

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Area of Science:

  • Ocean acoustics
  • Signal processing
  • Underwater acoustics

Background:

  • Passive sound source localization is crucial for underwater surveillance and research.
  • Traditional methods can be limited by environmental factors and array configurations in deep ocean environments.

Purpose of the Study:

  • To develop and validate a novel passive localization technique for deep ocean sound sources.
  • To improve localization accuracy by analyzing side lobe characteristics in the ambiguity surface.

Main Methods:

  • Utilizing a cross-correlation function matching technique for source localization.
  • Employing a two-sensor vertical array in deep ocean simulations and experiments.
  • Analytically expressing and utilizing side lobe curves as localization indicators.

Main Results:

  • Identified two distinct types of side lobe curves in the ambiguity surface.
  • Demonstrated that side lobe curves provide reliable indicators for localization.
  • Validated the proposed method through both simulation and experimental data.

Conclusions:

  • The proposed passive localization method offers improved performance in deep ocean environments.
  • Analyzing side lobe curves enhances the accuracy of sound source localization compared to traditional maximum power scanning.
  • This technique provides a robust approach for underwater acoustic source identification.