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Signal processing for microphone arrays with novel geometrical design

Signal processing for microphone arrays with novel geometrical design
Signal processing for microphone arrays with novel geometrical design
This research aims to propose a novel technique to design rigid baffle microphone arrays with complex geometry and their signal processing. The proposed technique relies on the use of the boundary element method (BEM) that allows to obtain a numerical model of the acoustic pressure captured by sensors of microphone arrays with any geometry. The beamforming strategy proposed in this study is based on the singular value decomposition (SVD), which is regarded as the general idea of the modal beamforming.

In this research, the microphone array problem is setup in an inverse problem framework,and is formulated as a Fredholm's integral equation of the first kind. The beamformer is then realised and the discrete version of the problem is analysed and discussed. The proposed design technique is then applied to two case studies: ?firstly, to study spheroidal microphone array and, secondly, to study spherical microphone arrays with acoustic waveguides added to the surface of the arrays with the aim to extend their operating frequency bandwidth. Number of numerical simulations were carried out in both studies.

The most significant results are presented in the second case study. It is proved via numerical simulations that the cavities on the spherical array allow for the reduction of spatial aliasing error. Moreover, the relation between the spherical harmonic beamforming and the SVD beamformer is discussed. An experiment was setup in order to demonstrate that the array with waveguides achieves the desired e?ffect with realisable. The experiment results indicate that the proposed technique is practical and can be
implemented for real-life microphone array design.
University of Southampton
Tontiwattanakul, Khemapat
3e836086-acab-4e19-bfcc-d9755fb4e2fd
Tontiwattanakul, Khemapat
3e836086-acab-4e19-bfcc-d9755fb4e2fd
Fazi, Filippo
e5aefc08-ab45-47c1-ad69-c3f12d07d807

(2016) Signal processing for microphone arrays with novel geometrical design. University of Southampton, Faculty of Engineering and the Environment, Doctoral Thesis, 272pp.

Record type: Thesis (Doctoral)

Abstract

This research aims to propose a novel technique to design rigid baffle microphone arrays with complex geometry and their signal processing. The proposed technique relies on the use of the boundary element method (BEM) that allows to obtain a numerical model of the acoustic pressure captured by sensors of microphone arrays with any geometry. The beamforming strategy proposed in this study is based on the singular value decomposition (SVD), which is regarded as the general idea of the modal beamforming.

In this research, the microphone array problem is setup in an inverse problem framework,and is formulated as a Fredholm's integral equation of the first kind. The beamformer is then realised and the discrete version of the problem is analysed and discussed. The proposed design technique is then applied to two case studies: ?firstly, to study spheroidal microphone array and, secondly, to study spherical microphone arrays with acoustic waveguides added to the surface of the arrays with the aim to extend their operating frequency bandwidth. Number of numerical simulations were carried out in both studies.

The most significant results are presented in the second case study. It is proved via numerical simulations that the cavities on the spherical array allow for the reduction of spatial aliasing error. Moreover, the relation between the spherical harmonic beamforming and the SVD beamformer is discussed. An experiment was setup in order to demonstrate that the array with waveguides achieves the desired e?ffect with realisable. The experiment results indicate that the proposed technique is practical and can be
implemented for real-life microphone array design.

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More information

Published date: August 2016
Organisations: University of Southampton, Signal Processing & Control Grp

Identifiers

Local EPrints ID: 400599
URI: http://eprints.soton.ac.uk/id/eprint/400599
PURE UUID: b8d38ecd-2b9e-423a-97e9-f10356059014

Catalogue record

Date deposited: 26 Oct 2016 15:30
Last modified: 24 Jul 2017 16:37

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