An acousto-optic beamformer
- 1 July 2012
- journal article
- Published by Acoustical Society of America (ASA) in The Journal of the Acoustical Society of America
- Vol. 132 (1) , 144-149
Abstract
There is a great variety of beamforming techniques that can be used for localization of sound sources. The differences among them usually lie in the array layout or in the specific signal processing algorithm used to compute the beamforming output. Any beamforming system consists of a finite number of transducers, which makes beamforming methods vulnerable to spatial aliasing above a certain frequency. The present work uses the acousto-optic effect, i.e., the interaction between sound and light, to localize sound sources in a plane. The use of a beam of light as the sensing element is equivalent to a continuous line aperture with an infinite number of microphones. This makes the proposed acousto-optic beamformer immune to spatial aliasing. This unique feature is illustrated by means of simulations and experimental results within the entire audible frequency range. For ease of comparison, the study is supplemented with measurements carried out with a line array of microphones.Keywords
This publication has 18 references indexed in Scilit:
- Sound field reconstruction using acousto-optic tomographyThe Journal of the Acoustical Society of America, 2012
- Beamforming with a circular array of microphones mounted on a rigid sphere (L)The Journal of the Acoustical Society of America, 2011
- Beamforming with a circular microphone array for localization of environmental noise sourcesThe Journal of the Acoustical Society of America, 2010
- Beamforming with air-coupled surface waves around a sphere and circular cylinder (L)The Journal of the Acoustical Society of America, 2005
- Plane-wave decomposition of the sound field on a sphere by spherical convolutionThe Journal of the Acoustical Society of America, 2004
- Adaptive beamforming for nonstationary arraysThe Journal of the Acoustical Society of America, 2002
- Design of sparse linear arrays by Monte Carlo importance samplingIEEE Journal of Oceanic Engineering, 2002
- Stochastic optimization of linear sparse arraysIEEE Journal of Oceanic Engineering, 1999
- Synthesis of unequally spaced arrays by simulated annealingIEEE Transactions on Signal Processing, 1996
- Beamforming: a versatile approach to spatial filteringIEEE ASSP Magazine, 1988