DocumentCode
990212
Title
Flexible and Optimal Design of Spherical Microphone Arrays for Beamforming
Author
Li, Zhiyun ; Duraiswami, Ramani
Author_Institution
UMIACS, Univ. of Maryland, College Park, MD
Volume
15
Issue
2
fYear
2007
Firstpage
702
Lastpage
714
Abstract
This paper describes a methodology for designing a flexible and optimal spherical microphone array for beamforming. Using the approach presented, a spherical microphone array can have very flexible layouts of microphones on the spherical surface, yet optimally approximate a desired beampattern of higher order within a specified robustness constraint. Depending on the specified beampattern order, our approach automatically achieves optimal performances in two cases: when the specified beampattern order is reachable within the robustness constraint we achieve a beamformer with optimal approximation of the desired beampattern; otherwise we achieve a beamformer with maximum directivity, both robustly. For efficient implementation, we also developed an adaptive algorithm for computing the beamformer weights. It converges to the optimal performance quickly while exactly satisfying the specified frequency response and robustness constraint in each step. One application of the method is to allow the building of a real-world system, where microphones may not be placeable on regions, such as near cable outlets and/or a mounting base, while having a minimal effect on the performance. Simulation results are presented
Keywords
acoustic signal processing; array signal processing; microphone arrays; adaptive algorithm; beamforming; beampattern; frequency response; maximum directivity; optimal spherical microphone arrays; Adaptive algorithm; Array signal processing; Design methodology; Frequency domain analysis; Frequency response; Laplace equations; Microphone arrays; Performance analysis; Robustness; White noise; Beamforming; beampattern; directivity index (DI); optimization; quadrature; spherical microphone array; white noise gain (WNG);
fLanguage
English
Journal_Title
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher
ieee
ISSN
1558-7916
Type
jour
DOI
10.1109/TASL.2006.876764
Filename
4067056
Link To Document