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Deconvolution for the localization of sound sources using a circular microphone array.

Elisabet Tiana-Roig¹, Finn Jacobsen

¹Department of Electrical Engineering, Technical University of Denmark, Orsteds Plads 352, DK-2800 Kongens Lyngby, Denmark. etr@elektro.dtu.dk

The Journal of the Acoustical Society of America

|August 24, 2013

Summary

This summary is machine-generated.

Deconvolution methods enhance acoustic source mapping with uniform circular arrays. These techniques improve sound visualization by reducing noise and increasing resolution for aeroacoustic applications.

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Area of Science:

Aeroacoustics
Acoustic imaging
Signal processing

Background:

Deconvolution methods are used to improve acoustic field visualization with sparse microphone arrays.
These methods model beamforming maps as a convolution of source distribution and point-spread function.
Conventional beamforming suffers from resolution limitations and side-lobe effects.

Purpose of the Study:

Adapt deconvolution techniques for uniform circular arrays (UCAs).
Map acoustic fields over 360° using UCAs.
Investigate the efficiency of spectral deconvolution algorithms for UCA-based acoustic source mapping.

Main Methods:

Adapted deconvolution methods (e.g., DAMAS, f-NNLS, Richardson-Lucy) for UCAs.
Leveraged the shift-invariant point-spread function of UCAs for spectral processing.
Utilized computer simulations and experimental measurements for validation.

Main Results:

Demonstrated the applicability of deconvolution to UCA beamforming.
Achieved improved resolution and reduced side-lobe effects in acoustic source maps.
Validated the effectiveness of computationally efficient spectral deconvolution algorithms.

Conclusions:

Deconvolution methods are effectively adapted for acoustic source mapping with uniform circular arrays.
The shift-invariant nature of UCA beamforming enables efficient spectral deconvolution.
These adapted methods offer enhanced acoustic field visualization for aeroacoustic research.