Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96261
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Title: On the simultaneous design of broadband beamformer filters and configuration
Authors: Gao, M 
Yiu, KFC 
Issue Date: Jun-2023
Source: Numerical algebra, control and optimization, June 2023, v. 13, no. 2, p. 328-339
Abstract: For signal enhancement, beamforming remains to be an essential technique for many applications. In the design process, the microphone locations are prescribed and the signal from a target location is being enhanced. While the filter coefficients can be readily optimized, it is found that the signal enhancement capability depends significantly on the array configuration. Therefore, it is advantageous to consider both filters and microphone positions as design variables. In this paper, this problem is addressed. We formulate the beamformer design problem as a non-linear least square problem and propose Gauss-Newton algorithm to update both filters and configuration simultaneously during iterations. We illustrate by several designs to demonstrate the effectiveness of the proposed method.
Keywords: Beamformer optimization
Array configuration optimization
Publisher: American Institute of Mathematical Sciences (AIMS Press)
Journal: Numerical algebra, control and optimization 
ISSN: 2155-3289
DOI: 10.3934/naco.2022019
Rights: © 2022 The Author(s). Published by AIMS, LLC. This is an Open Access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
The following publication Mingjie Gao, Ka-Fai Cedric Yiu. On the simultaneous design of broadband beamformer filters and configuration. Numerical Algebra, Control and Optimization, 2023, 13(2): 328-339 is available at https://doi.org/10.3934/naco.2022019.
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