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 :
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