Beamforming for directional sources: Additional estimator and evaluation of performance under different acoustic scenarios

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DOIResolve DOI: http://doi.org/10.1121/1.3557055
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TypeArticle
Journal titleJournal of the Acoustical Society of America
ISSN0001-4966
Volume129
Issue4
Pages20422051; # of pages: 10
SubjectA-plane; Array gain; Array of sensors; Beamformers; Beamforming methods; Diffuse noise; Gain optimization; Input signal; Interfering sources; Noise gain; Point sources; Relative performance; Simulation result; Spatial modes; Weighted Sum; Condition monitoring; Estimation; Signal to noise ratio; Beamforming; ajmaline; acoustics; article; computer simulation; noise; signal processing; theoretical model; Acoustics; Ajmaline; Computer Simulation; Models, Theoretical; Noise; Signal Processing, Computer-Assisted
AbstractBeamforming is done with an array of sensors to achieve a directional or spatially-specific response by using a model of the arriving wavefront. Conventionally, a plane wave or point source model is used and this can cause decreased array gain or even total breakdown of beamforming when the source is directional. To avoid this, the authors proposed in recent work an alternative beamforming method which defines a set of sub-beamformers, each designed to respond to a different spatial mode of the source. The outputs of the individual sub-beamformers are combined in a weighted sum to give an overall output of better quality than that of a monopole beamformer. This paper extends the previous work by introducing an additional estimator for the weighted sum and by presenting simulation results to demonstrate the relative performance of the proposed method and the different estimators for a directional source in the presence of diffuse noise, reverberation, and an interfering source. Gain optimization subject to a constraint on the white-noise gain with the proposed beamforming method is also introduced. Generally, when beamforming on directional sources, the proposed method outperforms beamforming with a point source model when the input signal-to-noise ratio (SNR) is 0 dB or higher. © 2011 Acoustical Society of America.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Microstructural Sciences (IMS-ISM)
Peer reviewedYes
NPARC number21271468
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Record identifier859170ef-f2eb-4e09-88ea-f982df8372cd
Record created2014-03-24
Record modified2016-05-09
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