Multiple source localization using estimation consistency in the time-frequency domain

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Title: Multiple source localization using estimation consistency in the time-frequency domain
Authors: Hafezi, S
Moore, AH
Naylor, P
Item Type: Conference Paper
Abstract: The extraction of multiple Direction-of-Arrival (DoA) in- formation from estimated spatial spectra can be challengin g when such spectra are noisy or the sources are adjacent. Smoothing or clustering techniques are typically used to remove the effect of noise or irregular peaks in the spatial spectra. As we will explain and show in this paper, the smoothing-based techniques require prior knowledge of min - imum angular separation of the sources and the clustering- based techniques fail on noisy spatial spectrum. A broad class of localization techniques give direction estimates in each Time Frequency (TF) bin. Using this information as input, a novel technique for obtaining robust localization of multiple simultaneous sources is proposed using Estimatio n Consistency (EC) in the TF domain. The method is evaluated in the context of spherical microphone arrays. This techniq ue does not require prior knowledge of the sources and by re- moving the noise in the estimated spatial spectrum makes clustering a reliable and robust technique for multiple DoA extraction from estimated spatial spectra. The results ind icate that the proposed technique has the strongest robustness to separation with up to 10 ◦ median error for 5 ◦ to 180 ◦ sepa- ration for 2 and 3 sources, compared to the baseline and the state-of-the-art techniques.
Issue Date: 5-Mar-2017
Date of Acceptance: 12-Dec-2016
URI: http://hdl.handle.net/10044/1/45036
ISSN: 1520-6149
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Journal / Book Title: IEEE International Conference on Acoustics Speech and Signal Processing
Copyright Statement: This paper is embargoed until publication.
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 609465
Conference Name: IEEE International Conference on Acoustics Speech and Signal Processing
Publication Status: Accepted
Start Date: 2017-03-05
Finish Date: 2017-03-09
Conference Place: New Orleans
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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