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A robust spatial filtering technique for multisource localization and geoacoustic inversion.

S A Stotts1

  • 1Applied Research Laboratories, The University of Texas at Austin, PO Box 8029, Austin, Texas 78713-8029, USA.

The Journal of the Acoustical Society of America
|August 27, 2005
PubMed
Summary

This study demonstrates a novel spatial filtering technique for geoacoustic inversion and source localization using array element data. The method enhances accuracy and stability, particularly for broadband applications with varying array element spacing.

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Area of Science:

  • Ocean acoustics
  • Geophysics
  • Signal processing

Background:

  • Geoacoustic inversion and source localization are crucial for underwater exploration.
  • Traditional methods often rely on beamformed data from towed or bottom-mounted arrays.
  • Spatial filtering offers an alternative approach to process element-level array data.

Purpose of the Study:

  • To introduce and validate an automated spatial filtering technique for geoacoustic inversion and source localization.
  • To assess the performance and stability of this filtering approach for broadband applications.
  • To compare the efficacy of spatial filtering with traditional beamforming methods.

Main Methods:

  • Transforming element-level hydrophone data into beam data using spatial filtering.

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  • Applying a bearing filter and transforming data back to element-level for inversion.
  • Implementing a procedure for filter stability with nonuniformly spaced array elements.
  • Utilizing simulated annealing algorithms and analyzing cost functions.

    • Main Results:

    • Demonstrated successful geoacoustic inversion and source localization using the spatial filtering technique.
    • Confirmed filter stability and energy conservation, especially for broadband signals.
    • Showcased effective performance with both uniform and nonuniform array element spacing.
    • Presented comparable or improved results against traditional beamforming methods using synthetic and real data.

    Conclusions:

    • The spatial filtering approach provides a robust and automatable method for geoacoustic inversion and source localization.
    • The technique is effective across various array configurations and frequency ranges.
    • This method offers a valuable alternative for underwater acoustic data processing and analysis.