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Date of Publication:2009-01-01

Journal:大连理工大学学报

Issue:4

Page Number:580-586

ISSN No.:1000-8608

Abstract:Utilizing layered sampling method,both direction of arrival (DOA) and time difference of arrival (TDOA) of speech source are fused to localize and track the speaker.Since the measurement modalities differ in the level of information which they provide about the state,the layered sampling method constructs an informed proposal by integrating filtering results from DOA measurement,then particles are sampled from this proposal in TDOA measurement based particle filter.As the similarity between the importance density function and the posterior density function is enhanced,the quality of the proposal function is improved and variance of sample weights is decreased,thus the speaker localization accuracy is improved.Simulation results of two scenarios show the validity of the proposed method.

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