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2D direction of arrival estimation of multiple moving sources using a spherical microphone array

2D direction of arrival estimation of multiple moving sources using a spherical microphone array
2D direction of arrival estimation of multiple moving sources using a spherical microphone array

Direction of arrival estimation using a spherical microphone array is an important and growing research area. One promising algorithm is the recently proposed Subspace Pseudo-Intensity Vector method. In this contribution the Subspace Pseudo-Intensity Vector method is combined with a state-ofthe-art method for robustly estimating the centres of mass in a 2D histogram based on matching pursuits. The performance of the improved Subspace Pseudo-Intensity Vector method is evaluated in the context of localising multiple moving sources where it is shown to outperform competing methods in terms of clutter rate and the number of missed detections whilst remaining comparable in terms of localisation accuracy.

Direction of arrival estimation, Localisation, PIV, Spherical harmonic domain, Subspace pseudointensity vectors, Tracking
2219-5491
1217-1221
European Signal Processing Conference, EUSIPCO
Moore, Alastair H.
58d011fd-6a02-449a-9b77-651e8c86166e
Evers, Christine
93090c84-e984-4cc3-9363-fbf3f3639c4b
Naylor, Patrick A.
13079486-664a-414c-a1a2-01a30bf0997b
Moore, Alastair H.
58d011fd-6a02-449a-9b77-651e8c86166e
Evers, Christine
93090c84-e984-4cc3-9363-fbf3f3639c4b
Naylor, Patrick A.
13079486-664a-414c-a1a2-01a30bf0997b

Moore, Alastair H., Evers, Christine and Naylor, Patrick A. (2016) 2D direction of arrival estimation of multiple moving sources using a spherical microphone array. In 2016 24th European Signal Processing Conference, EUSIPCO 2016. vol. 2016-November, European Signal Processing Conference, EUSIPCO. pp. 1217-1221 . (doi:10.1109/EUSIPCO.2016.7760442).

Record type: Conference or Workshop Item (Paper)

Abstract

Direction of arrival estimation using a spherical microphone array is an important and growing research area. One promising algorithm is the recently proposed Subspace Pseudo-Intensity Vector method. In this contribution the Subspace Pseudo-Intensity Vector method is combined with a state-ofthe-art method for robustly estimating the centres of mass in a 2D histogram based on matching pursuits. The performance of the improved Subspace Pseudo-Intensity Vector method is evaluated in the context of localising multiple moving sources where it is shown to outperform competing methods in terms of clutter rate and the number of missed detections whilst remaining comparable in terms of localisation accuracy.

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More information

Published date: 28 November 2016
Venue - Dates: 24th European Signal Processing Conference, EUSIPCO 2016, , Budapest, Hungary, 2016-08-27 - 2016-09-01
Keywords: Direction of arrival estimation, Localisation, PIV, Spherical harmonic domain, Subspace pseudointensity vectors, Tracking

Identifiers

Local EPrints ID: 446096
URI: http://eprints.soton.ac.uk/id/eprint/446096
ISSN: 2219-5491
PURE UUID: bf4289fd-4797-4d5c-a6dc-a382720b937b
ORCID for Christine Evers: ORCID iD orcid.org/0000-0003-0757-5504

Catalogue record

Date deposited: 20 Jan 2021 17:32
Last modified: 18 Feb 2021 17:41

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