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Multisource statistically optimized near-field acoustical holography.

Alan T Wall1, Kent L Gee1, Tracianne B Neilsen1

  • 1N243 Eyring Science Center, Brigham Young University, Provo, Utah 84602.

The Journal of the Acoustical Society of America
|February 21, 2015
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Summary

This study introduces multisource statistically optimized near-field acoustical holography (M-SONAH) for analyzing complex sound fields. M-SONAH accurately reconstructs sound with fewer measurements and reduced error compared to traditional methods.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Computational Physics

Background:

  • Near-field acoustical holography (NAH) traditionally models single sound sources.
  • Analyzing complex sound fields from multiple sources requires advanced techniques.
  • Existing methods may necessitate extensive measurements or higher-order approximations.

Purpose of the Study:

  • To develop a reduced-order approach for near-field acoustical holography (NAH) capable of handling multiple sound sources.
  • To formulate an equivalent wave model (EWM) incorporating diverse elementary wave functions for multisource scenarios.
  • To enhance the accuracy and efficiency of sound field reconstruction in complex acoustic environments.

Main Methods:

  • Formulation of a multisource equivalent wave model (EWM) using combinations of elementary wave functions (planar, cylindrical, spherical, etc.).
  • Application of the statistically optimized near-field acoustical holography (SONAH) algorithm to the multisource EWM.
  • The combined method is termed multisource statistically optimized near-field acoustical holography (M-SONAH).

Main Results:

  • M-SONAH successfully reconstructs simulated sound fields generated by multiple, spatially separated sources.
  • The M-SONAH method demonstrates lower reconstruction errors compared to single-wave formulations.
  • Fewer measurements are required for accurate reconstruction using M-SONAH.

Conclusions:

  • M-SONAH provides an effective reduced-order approach for analyzing complex sound fields from multiple sources.
  • This method alleviates the need for higher-order functions and reduces measurement requirements in NAH.
  • M-SONAH offers improved accuracy and efficiency for near-field acoustic measurements and analysis.