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Broadband Music: Opportunities and Challenges for Multiple Source Localization

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3 Author(s)
Jacek P. Dmochowski ; INRS-EMT, Université du Québec, 800 rue de la Gauchetière Ouest, suite 6900, Montréal, Québec, H5A 1K6, Canada. dmochow@emt.inrs.ca ; Jacob Benesty ; Sofiene Affes

It is well-known that the subspace MUltiple SIgnal Classification (MUSIC) method provides high-resolution spatial spectral estimates in narrowband signal environments. However, for broadband signals, such high-resolution methods still elude researchers. This paper proposes a broadband version of the MUSIC method using a parameterized version of the spatial correlation matrix. The proposed algorithm utilizes both inter-microphone amplitude and phase differences; as a result, simulation results show that the proposed method allows two broadband sources which are not resolvable by conventional steered beamforming to be accurately resolved.

Published in:

2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Date of Conference:

21-24 Oct. 2007