Heinz Teutsch

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

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.

Detection and localization of multiple wideband acoustic sources based on wavefield decomposition using spherical apertures

This paper discusses novel methods for detecting and localizing multiple wideband acoustic sources using spherical apertures. In contrast to traditional methods the techniques presented here are not based on processing the output of individual microphones directly. Instead, the microphone signals are used to decompose the wave- field into its spherical harmonics which are subsequently used as a basis for novel frequency-independent multiple-source localization and detection methods.