Design of robust two-dimensional polynomial beamformers as a convex optimization problem with application to robot audition

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Barfuß H, Bachmann M, Bürger M, Schneider M, Kellermann W
Publication year: 2017
Pages range: 106-110
ISBN: 978-1-5386-1631-4
Language: English


Abstract


We propose a robust two-dimensional polynomial beamformer design method, formulated as a convex optimization problem, which allows for flexible steering of a previously proposed data-independent robust beamformer in both azimuth and elevation direction. As an exemplary application, the proposed two-dimensional polynomial beamformer design is applied to a twelve-element microphone array, integrated into the head of a humanoid robot. To account for the effects of the robot's head on the sound field, measured head-related transfer functions are integrated into the optimization problem as steering vectors. The two-dimensional polynomial beamformer design is evaluated using signal-independent and signal-dependent measures. The results confirm that the proposed polynomial beamformer design approximates the original fixed beamformer design very accurately, which makes it an attractive approach for robust real-time data-independent beamforming.


FAU Authors / FAU Editors

Bachmann, Markus
Professur für Nachrichtentechnik
Barfuß, Hendrik
Professur für Nachrichtentechnik
Bürger, Michael
Professur für Nachrichtentechnik
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Schneider, Martin
Professur für Nachrichtentechnik


How to cite

APA:
Barfuß, H., Bachmann, M., Bürger, M., Schneider, M., & Kellermann, W. (2017). Design of robust two-dimensional polynomial beamformers as a convex optimization problem with application to robot audition. (pp. 106-110). New Paltz, NY, US.

MLA:
Barfuß, Hendrik, et al. "Design of robust two-dimensional polynomial beamformers as a convex optimization problem with application to robot audition." Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY 2017. 106-110.

BibTeX: 

Last updated on 2018-16-10 at 14:53