Spherical Harmonic Smoothing for Localizing Coherent Sound Sources

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Correlated or coherent sources can cause the localization performance of subspace-based beamformers to deteriorate. To solve this problem, various smoothing techniques have been proposed for the localization of multiple coherent sound sources. A common principle of smoothing techniques is to increase the rank of a covariance matrix by constructing multiple subarrays in the space, time, or frequency domain. The construction of such subarrays, however, requires the satisfaction of strong assumptions regarding the microphone positions or the temporal/spectral structures of the signals. In this paper, we propose a spherical harmonic smoothing technique that can perform smoothing in terms of spherical harmonic coefficients only. Unlike other smoothing techniques, the proposed technique constructs subarrays of spherical harmonic coefficients and uses them to increase the number of linearly independent observations in a signal subspace. Subar-ray construction in the spherical harmonics domain enables the accurate localization of multiple coherent sources even at a single frequency. The proposed technique can be applied to an arbitrary microphone array as long as the spherical harmonic coefficients can be measured up to a finite order.
Publisher
IEEE
Issue Date
2017-10
Language
English
Article Type
Article
Keywords

2-D ANGLE ESTIMATION; VECTOR-SENSOR ARRAY; MICROPHONE ARRAYS; LOCALIZATION; ESPRIT; SIGNALS

Citation

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.25, no.10, pp.1969 - 1984

ISSN
2329-9290
DOI
10.1109/TASLP.2017.2738698
URI
http://hdl.handle.net/10203/226398
Appears in Collection
EE-Journal Papers(저널논문)
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