Volume 8 Number 1 (Jan. 2013)
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JCP 2013 Vol.8(1): 200-207 ISSN: 1796-203X
doi: 10.4304/jcp.8.1.200-207

Optimization of Microphone Array Geometry with Evolutionary Algorithm

Jingjing Yu1, Fashan Yu2, and Yinglei Li2
1 University of Kentucky, Lexington, USA
2 Henan Polytechnic University, Jiaozuo, CHINA; University of Kentucky, Lexington, USA


Abstract—The complex relationship between array spatial gain pattern and microphone distribution limits the effective use of traditional methods to optimize the element placements of microphone arrays. This paper presents a genetic algorithm (GA) for microphone array optimization problems with the purpose of maximizing beamforming SNR for given possible distribution of sound sources. Functions based on the statistical geometry descriptors are applied as the objective functions of GA. Three optimization experiments involving linear and planar arrays in continuous and discrete design spaces are performed under various acoustic scenes. Results demonstrate that proposed algorithm sorts out these superior geometries with significant SNR improvement over randomly generated arrays and regular arrays. High successful rate, rapid convergence speed, and fast processing time observed in all the experiments demonstrate the feasibility of this algorithm as a practical tool for microphone array optimization.

Index Terms—microphone array optimization, genetic algorithm, beamforming

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Cite: Jingjing Yu, Fashan Yu, and Yinglei Li, " Optimization of Microphone Array Geometry with Evolutionary Algorithm," Journal of Computers vol. 8, no. 1, pp. 200-207, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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