Robust localization of multiple sources in reverberant environments using EB-ESPRIT with spherical microphone arrays

Sun H, Teutsch H, Mabande E, Kellermann W (2011)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2011

Pages Range: 117-120

Article Number: 5946342

Event location: Prague CZ

ISBN: 9781457705397

DOI: 10.1109/ICASSP.2011.5946342

Abstract

Spherical microphone array eigenbeam (EB)-ESPRIT gives an elegant closed-form solution for 3D broadband source localization based on the spherical harmonics (eigenbeam) framework. However, in practical implementations, there are still several issues not being rigorously studied, e.g. how to avoid the ill-conditioning of an EB-ESPRIT matrix, solve the ambiguity problem, handle a large number of sources, and localize coherent broadband sources, etc. In this work, we propose to use the condition number of the EB-ESPRIT matrix as a robustness measure, and to use Wigner-D weighting to avoid the ill-conditioning issue and improve the robustness. In addition, power spectrum testing, frequency smoothing, and manifold vector extension techniques are employed to address the ambiguity, coherent source localization, and large source number problems, respectively. Experimental results based on measurements taken with a real spherical microphone array in a room environment show the effectiveness of the proposed methods. © 2011 IEEE.

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APA:

Sun, H., Teutsch, H., Mabande, E., & Kellermann, W. (2011). Robust localization of multiple sources in reverberant environments using EB-ESPRIT with spherical microphone arrays. In Proceedings of the 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 (pp. 117-120). Prague, CZ.

MLA:

Sun, Haohai, et al. "Robust localization of multiple sources in reverberant environments using EB-ESPRIT with spherical microphone arrays." Proceedings of the 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague 2011. 117-120.

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