On the Design of Optimal Linear Microphone Array Geometries
In this paper, we present a simultaneous optimization model for aperiodic linear microphone array geometry and weights. Desirable properties for Broadband arrays include robust superdirective frequency invariant beampatterns. Our approach is to employ particle swarm optimization (PSO) to search for the optimal geometry while selecting optimal weights for each particle's geometry. The resulting directivity factor (DFs) and white noise gains (WNGs) are used to define the PSO fitness function. The proposed approach also optimizes the trade-off between WNG and DF, to find a geometry within a given aperture, thus, maximizing both these parameters. The proposed method allows the user great flexibility in specifying desired DFs and WNGs over frequency by virtue of the PSO fitness function. The resultant array geometry is smaller and yields greater WNG and DF than conventional approach.
S. J. Patel et al., "On the Design of Optimal Linear Microphone Array Geometries," Proceedings of the 16th International Workshop on Acoustic Signal Enhancement (2018, Tokyo, Japan), pp. 501-505, Institute of Electrical and Electronics Engineers (IEEE), Sep 2018.
The definitive version is available at https://doi.org/10.1109/IWAENC.2018.8521335
16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 (2018: Sep. 17-20, Tokyo, Japan)
Electrical and Computer Engineering
Intelligent Systems Center
Keywords and Phrases
Acoustic noise; Economic and social effects; Geometry; Microphones; White noise; Broadband arrays; Conventional approach; Directivity factor; Frequency invariant; Linear microphonearray; Microphone arrays; Nested arrays; Simultaneous optimization; Particle swarm optimization (PSO); Linear differential microphone arrays; White noise gain
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Sep 2018