TRINICON-based blind system identification with application to multiple-source localization and separation

Article in Edited Volumes
(Book chapter)


Publication Details

Author(s): Buchner H, Aichner R, Kellermann W
Editor(s): S. Makino, T.-W. Lee, S. Sawada
Title edited volumes: Blind Speech Separation
Publisher: Springer
Publishing place: Dordrecht
Publication year: 2007
Title of series: Signals and Communication Technology
Pages range: 101-147
ISBN: 978-1-4020-6479-1
Language: English


Abstract

This contribution treats blind system identification approaches and how
they can be used to localize multiple sources in environments where
multipath propagation cannot be neglected, e.g., acoustic sources in
reverberant environments. Based on TRINICON, a general framework for
broadband adaptive MIMO signal processing, we first derive a versatile
blind MIMO system identification method. For this purpose, the basics of
TRINICON will be reviewed to the extent needed for this application,
and some new algorithmic aspects will be emphasized. The generic
approach then allows us to study various illustrative relations to other
algorithms and applications. In particular, it is shown that the
optimization criteria used for blind system identification allow a
generalization of the well-known Adaptive Eigenvalue Decomposition (AED)
algorithm for source localization: Instead of one source as with AED,
several sources can be localized simultaneously. Performance evaluation
in realistic scenarios will show that this method compares favourably
with other state-of-the-art methods for source localization.©Springer


FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

APA:
Buchner, H., Aichner, R., & Kellermann, W. (2007). TRINICON-based blind system identification with application to multiple-source localization and separation. In S. Makino, T.-W. Lee, S. Sawada (Eds.), Blind Speech Separation. (pp. 101-147). Dordrecht: Springer.

MLA:
Buchner, Herbert, Robert Aichner, and Walter Kellermann. "TRINICON-based blind system identification with application to multiple-source localization and separation." Blind Speech Separation. Ed. S. Makino, T.-W. Lee, S. Sawada, Dordrecht: Springer, 2007. 101-147.

BibTeX: 

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