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 Citations (Scopus)

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
Volume2006
StatePublished - 2006
Event3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications - Innsbruck, Austria
Duration: Feb 15 2006Feb 17 2006

Other

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

Fingerprint

Beamforming
Experiments

Keywords

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

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Benton, S., Spanias, A., Tu, K., Thornburg, H., Qian, G., & Rikakis, T. (2006). Adaptive beamforming and particle filtering. In Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (Vol. 2006, pp. 147-151)

Adaptive beamforming and particle filtering. / Benton, Seth; Spanias, Andreas; Tu, Kai; Thornburg, Harvey; Qian, Gang; Rikakis, Thanassis.

Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications. Vol. 2006 2006. p. 147-151.

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

Benton, S, Spanias, A, Tu, K, Thornburg, H, Qian, G & Rikakis, T 2006, Adaptive beamforming and particle filtering. in Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications. vol. 2006, pp. 147-151, 3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, Innsbruck, Austria, 2/15/06.
Benton S, Spanias A, Tu K, Thornburg H, Qian G, Rikakis T. Adaptive beamforming and particle filtering. In Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications. Vol. 2006. 2006. p. 147-151
Benton, Seth ; Spanias, Andreas ; Tu, Kai ; Thornburg, Harvey ; Qian, Gang ; Rikakis, Thanassis. / Adaptive beamforming and particle filtering. Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications. Vol. 2006 2006. pp. 147-151
@inproceedings{d8903aa04c8b4d289ea32d6e5b7bca17,
title = "Adaptive beamforming and particle filtering",
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.",
keywords = "Acoustic beamforming, Microphone arrays, Particle filters, Real-time sound localization",
author = "Seth Benton and Andreas Spanias and Kai Tu and Harvey Thornburg and Gang Qian and Thanassis Rikakis",
year = "2006",
language = "English (US)",
isbn = "0889865477",
volume = "2006",
pages = "147--151",
booktitle = "Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications",

}

TY - GEN

T1 - Adaptive beamforming and particle filtering

AU - Benton, Seth

AU - Spanias, Andreas

AU - Tu, Kai

AU - Thornburg, Harvey

AU - Qian, Gang

AU - Rikakis, Thanassis

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - Acoustic beamforming

KW - Microphone arrays

KW - Particle filters

KW - Real-time sound localization

UR - http://www.scopus.com/inward/record.url?scp=33847206483&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33847206483&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0889865477

SN - 9780889865471

VL - 2006

SP - 147

EP - 151

BT - Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications

ER -