Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96261
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorGao, Men_US
dc.creatorYiu, KFCen_US
dc.date.accessioned2022-11-14T04:07:12Z-
dc.date.available2022-11-14T04:07:12Z-
dc.identifier.issn2155-3289en_US
dc.identifier.urihttp://hdl.handle.net/10397/96261-
dc.language.isoenen_US
dc.publisherAmerican Institute of Mathematical Sciences (AIMS Press)en_US
dc.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/).en_US
dc.rightsThe 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.en_US
dc.subjectBeamformer optimizationen_US
dc.subjectArray configuration optimizationen_US
dc.titleOn the simultaneous design of broadband beamformer filters and configurationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage328en_US
dc.identifier.epage339en_US
dc.identifier.volume13en_US
dc.identifier.issue2en_US
dc.identifier.doi10.3934/naco.2022019en_US
dcterms.abstractFor 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.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationNumerical algebra, control and optimization, June 2023, v. 13, no. 2, p. 328-339en_US
dcterms.isPartOfNumerical algebra, control and optimizationen_US
dcterms.issued2023-06-
dc.description.validate202211 bcwwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberRGC-B3-0096-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextPolyUen_US
dc.description.pubStatusPublisheden_US
dc.description.TAAIMS (2023)en_US
dc.description.oaCategoryTAen_US
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