Adaptive beamforming and particle filtering

Seth Benton, Andreas Spanias, Kai Tu, Harvey Thornburg, Gang Qian, Thanassis Rikakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper addresses the problem of localizing a speech source in a reverberant environment. Simulations and real-time experiments are conducted and several methods are examined including the traditional steered-response-power (SRP) and the delay-and-sum beamformer (DSB). An algorithm that uses a particle filter in conjunction with an adaptive beamformer is developed, analyzed, and tested in a reverberant environment. The use of the particle filter provided improved results, relative to traditional DSB localization methods, in offline simulations and real-time experiments.

Original languageEnglish (US)
Title of host publicationProceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Pages147-151
Number of pages5
StatePublished - Dec 1 2006
Event3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications - Innsbruck, Austria
Duration: Feb 15 2006Feb 17 2006

Publication series

NameProceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Volume2006

Other

Other3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
CountryAustria
CityInnsbruck
Period2/15/062/17/06

Keywords

  • Acoustic beamforming
  • Microphone arrays
  • Particle filters
  • Real-time sound localization

ASJC Scopus subject areas

  • Engineering(all)

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