TRINICON-BSS system incorporating robust dual beamformers for noise reduction

Conference contribution


Publication Details

Author(s): Anderson C, Meier S, Kellermann W, Teal PD, Poletti MA
Publication year: 2015
Pages range: 529-533
ISBN: 978-1-4673-6997-8
ISSN: 2379-190X
Language: English


Abstract

In this paper, a method of adaptive noise suppression combining spatially robust fixed beamforming and the TRINICON blind source separation algorithm is presented. A multichannel sensor array is first processed using complementary fixed beamformers into maximum and minimum SINR channels. The channels form the inputs to a single 2×2 second-order statistics TRINICON-BSS system which adaptively compensates for imperfections of the fixed beamformer design relative to the acoustic scenario. It is demonstrated that integrating the TRINICON-BSS algorithm leads to improved SINR performance over the initial imperfect beamformer design, and achieves a performance comparable to a perfect MVDR beamformer.


FAU Authors / FAU Editors

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


External institutions
Victoria University of Wellington


How to cite

APA:
Anderson, C., Meier, S., Kellermann, W., Teal, P.D., & Poletti, M.A. (2015). TRINICON-BSS system incorporating robust dual beamformers for noise reduction. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 529-533). Brisbane, AU.

MLA:
Anderson, Craig, et al. "TRINICON-BSS system incorporating robust dual beamformers for noise reduction." Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane 2015. 529-533.

BibTeX: 

Last updated on 2019-20-04 at 13:38