Adaptive beamforming and particle filtering

Authors:
Seth Benton;Andreas Spanias;Kai Tu;Harvey Thornburg;Gang Qian;Thanassis Rikakis
Affiliations:
Arts Media and Engineering, Arizona State University, Tempe, AZ;Arts Media and Engineering, Arizona State University, Tempe, AZ;Arts Media and Engineering, Arizona State University, Tempe, AZ;Arts Media and Engineering, Arizona State University, Tempe, AZ;Arts Media and Engineering, Arizona State University, Tempe, AZ;Arts Media and Engineering, Arizona State University, Tempe, AZ
Venue:
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Year:
2006

Citing 4
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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.