Localization of multiple simultaneously active sources in acoustic sensor networks using ADP
Brendel A, Kellermann W (2017)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2017
Pages Range: 1-5
Event location: Curaçao
ISBN: 978-1-5386-1251-4
DOI: 10.1109/CAMSAP.2017.8313167
Abstract
In this contribution, we propose a new localization approach for multiple simultaneously active sound sources using acoustic sensor networks (ASNs). 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.
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How to cite
APA:
Brendel, A., & Kellermann, W. (2017). Localization of multiple simultaneously active sources in acoustic sensor networks using ADP. In Proceedings of the IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (pp. 1-5). Curaçao, AN.
MLA:
Brendel, Andreas, and Walter Kellermann. "Localization of multiple simultaneously active sources in acoustic sensor networks using ADP." Proceedings of the IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curaçao 2017. 1-5.
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