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Beamforming correction for dipole measurement using two-dimensional microphone arrays.

Yu Liu1, Alexander R Quayle, Ann P Dowling

  • 1Department of Engineering, University of Cambridge, Cambridge CB21PZ, United Kingdom. yl275@cam.ac.uk

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This study introduces a corrected beamforming algorithm for accurately identifying dipole sound sources using microphone arrays. The new method improves upon conventional techniques, enhancing the estimation of dipole source powers.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Array Signal Processing

Background:

  • Conventional beamforming is optimized for monopole sources, leading to inaccuracies when applied to dipole sources.
  • Existing correction techniques for microphone signals have limitations in accounting for source location and power in 2D arrays.

Purpose of the Study:

  • To develop and validate a novel beamforming correction algorithm specifically designed for identifying dipole sound sources.
  • To enhance the accuracy of source localization and power estimation for dipole sources using phased microphone arrays.

Main Methods:

  • A modified source definition was incorporated into the beamforming algorithm to specifically address dipole characteristics.
  • The technique was extended to handle two-dimensional microphone arrays, considering both source location and power.
  • Numerical simulations and experimental measurements were conducted to validate the algorithm's performance.

Main Results:

  • The new dipole-beamforming algorithm demonstrated improved accuracy in reconstructing ideal dipole sources compared to conventional methods.
  • Application to realistic aeolian-tone dipoles showed enhanced array performance in estimating dipole source powers.
  • The extended correction technique effectively accounts for source location and power in two-dimensional arrays.

Conclusions:

  • The developed dipole-beamforming correction is effective for identifying and characterizing dipole sound sources.
  • This advancement offers improved acoustic source identification capabilities, particularly for complex sound fields.
  • The method provides a more robust solution for applications involving dipole sound emitters.