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Using global optimization methods for three-dimensional localization and quantification of incoherent acoustic

Bieke von den Hoff1, Roberto Merino-Martínez1, Dick G Simons1

  • 1Aircraft Noise and Climate Effects, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The Netherlands B.vondenHoff@tudelft.nl, R.MerinoMartinez@tudelft.nl, D.G.Simons@tudelft.nl, M.Snellen@tudelft.nl.

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This study introduces global optimization for 3D acoustic imaging, accurately locating multiple noise sources and their sound levels. The method achieves super-resolution beyond the conventional Rayleigh limit.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Computational Physics

Background:

  • Complex acoustic systems exhibit three-dimensional noise source distributions.
  • Conventional planar microphone arrays struggle with 3D acoustic imaging due to computational complexity and limitations in handling multiple sources.

Purpose of the Study:

  • To address the limitations of conventional methods for 3D acoustic imaging.
  • To develop a novel approach for accurately localizing and quantifying multiple sound sources in three dimensions.

Main Methods:

  • Application of global optimization techniques to acoustic imaging problems.
  • Experimental validation using three incoherent sound sources and a microphone array.

Main Results:

  • Accurate determination of the 3D location and sound level for each individual source.
  • Achievement of super-resolution imaging, surpassing the conventional Rayleigh resolution limit.

Conclusions:

  • Global optimization methods offer a viable solution for 3D acoustic imaging of complex noise source distributions.
  • The proposed method enhances source localization accuracy and enables super-resolution, outperforming traditional techniques.