Localization of multiple simultaneously active sources in acoustic sensor networks using ADP
Andreas Brendel, Walter Kellermann · 2017
In this contribution, we propose a new localization approach for multiple simultaneously active sound sources using acoustic sensor networks. It is based on the averaged directivity pattern (ADP) approach, which explicitly models the influence of reverberation on its direction of arrival (DOA) estimates and has shown to be robust against additive noise and reverberation. We develop a framework capable of handling prior information, the integration of several DOA estimators and reliability information. In particular, we derive range information from the estimated ADP-energy map and use a contribution removal technique to tackle the problem of ghost sources. Experiments with simulated room impulse responses show the efficacy of this approach.