Performance for randomly described arrays

Jingjing Yu, Kevin D. Donohue

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The complex relationship between irregular microphone distributions and its spatial gain hinders the efficient use of beamforming in various applications. This paper examines beamformer performance based on statistical descriptions of microphone geometries. In particular, array centroid, dispersion, and entropy based statistics are used to characterize irregular geometries relative to beamformer focal points. Simulations are performed to determine relationships between geometry descriptors and beamformer performance for speech applications. Descriptors are used in a genetic algorithm (GA) for optimizing microphone placements for various acoustic target and noise source distributions. Results show significant SNR enhancements for optimized irregular arrays over comparable regular arrays. GA objective functions using proposed geometry descriptors, result in rapid convergence to superior performing arrays, indicating a strong correlations with array performance.

Original languageEnglish
Title of host publication2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011
Pages269-272
Number of pages4
DOIs
StatePublished - 2011
Event2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011 - New Paltz, NY, United States
Duration: Oct 16 2011Oct 19 2011

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Conference

Conference2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011
Country/TerritoryUnited States
CityNew Paltz, NY
Period10/16/1110/19/11

Keywords

  • Microphone array
  • beamforming
  • genetic algorithm
  • optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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