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Estimation of the Acoustic Time Delay of Arrival by Adaptive Eigenvalue Decomposition with a Proportionate StepSize Control and DirectPath Constraint
Seokjin LEE
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E99A
No.8
pp.16221627 Publication Date: 2016/08/01 Online ISSN: 17451337
DOI: 10.1587/transfun.E99.A.1622 Type of Manuscript: LETTER Category: Digital Signal Processing Keyword: acoustic source localization, adaptive eigenvalue decomposition, delay estimation, room reverberation, time delay of arrival,
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Summary:
Estimation of the time delay of arrival (TDOA) problem is important to acoustic source localization. The TDOA estimation problem is defined as finding the relative delay between several microphone signals for the direct sound. To estimate TDOA, the generalized crosscorrelation (GCC) method is the most frequently used, but it has a disadvantage in terms of reverberant environments. In order to overcome this problem, the adaptive eigenvalue decomposition (AED) method has been developed, which estimates the room transfer function and finds the directpath delay. However, the algorithm does not take into account the fact that the room transfer function is a sparse channel, and so sometimes the estimated transfer function is too dense, resulting in failure to exact directpath and delay. In this paper, an enhanced AED algorithm that makes use of a proportionate stepsize control and a directpath constraint is proposed instead of a constant step size and the L_{2}norm constraint. The simulation results show that the proposed algorithm has enhanced performance as compared to both the conventional AED method and the phasetransform (PHAT) algorithm.

