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On the use of global optimization methods for acoustic source mapping.

Anwar M N Malgoezar1, Mirjam Snellen1, Roberto Merino-Martinez1

  • 1Delft University of Technology, Faculty of Aerospace Engineering, Kluyverweg 1, 2629 HS Delft, The Netherlands.

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Summary

This study introduces an efficient global optimization method for sound source localization using microphone arrays. The new approach accurately identifies sound sources and their distances, improving upon conventional beamforming techniques.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Optimization Techniques

Background:

  • Conventional beamforming is a standard technique for sound source localization and quantification using microphone arrays.
  • It relies on an exhaustive search of predefined grid locations to match measured and modeled acoustic pressures.
  • This method can be computationally intensive and limited in handling complex scenarios.

Purpose of the Study:

  • To develop and evaluate an efficient global optimization method for sound source localization.
  • To enhance the accuracy and adaptability of sound source identification compared to conventional beamforming.
  • To enable the inclusion of additional parameters, such as three-dimensional source positions and environmental factors.

Main Methods:

  • Implementation of an efficient global optimization algorithm, specifically Differential Evolution.
  • Application of the optimization method to search for source locations that maximize agreement between measured and modeled acoustic pressures.
  • Validation using simulated and experimental acoustic data.

Main Results:

  • The proposed global optimization method accurately identifies sound sources.
  • The technique successfully determines the distance from the sound source to the microphone array.
  • The method allows for the incorporation of more complex parameters, enhancing model flexibility.

Conclusions:

  • Efficient global optimization offers a superior alternative to exhaustive search in conventional beamforming for sound source localization.
  • This approach provides greater accuracy and flexibility in identifying sound sources and their characteristics.
  • The method demonstrates potential for advanced acoustic analysis in various environments.