Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102848
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorChu, YJen_US
dc.creatorMak, CMen_US
dc.creatorZhao, Yen_US
dc.creatorChan, SCen_US
dc.creatorWu, Men_US
dc.date.accessioned2023-11-17T02:58:11Z-
dc.date.available2023-11-17T02:58:11Z-
dc.identifier.issn0022-460Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/102848-
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.rightsThis is the preprint version of the following article: Chu, Y. J., Mak, C. M., Zhao, Y., Chan, S. C., & Wu, M. (2020). Performance analysis of a diffusion control method for ANC systems and the network design. Journal of Sound and Vibration, 475, 115273 which is available at https://doi.org/10.1016/j.jsv.2020.115273.en_US
dc.subjectActive noise control (ANC)en_US
dc.subjectDiffusion controlen_US
dc.subjectNetwork designen_US
dc.subjectPerformance analysisen_US
dc.titlePerformance analysis of a diffusion control method for ANC systems and the network designen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume475en_US
dc.identifier.doi10.1016/j.jsv.2020.115273en_US
dcterms.abstractActive noise control (ANC) systems have been widely used to reduce noise from indoor or outdoor sources, e.g. traffic, office/factory machines and ventilating systems. Since noise control usually needs to be executed within an extended area, the ANC network that involves a large amount of error microphones and loudspeakers is frequently employed. Distribution of the controller network saves computational burden and yields spatial diversity, which enhances the robustness of the system. This paper studies the diffusion (Diff) control for multi-channel ANC systems using filtered-x (Fx) least mean squares (LMS) algorithms. Since communication between nodes within the network makes it difficult to analyze the performance of the entire system, a comprehensive performance analysis of networked FxLMS algorithm is not available currently in literature to our best knowledge. In this paper, the convergence behavior of the Diff-FxLMS algorithm is investigated. The mean and mean squares difference equations are derived, from which the stability of the networked ANC system is analyzed and the steady-state excess mean square errors (EMSEs) for ANC controllers are obtained. Computer simulations are conducted to compare different control methods and verify the theoretical analysis. A specific 10-node network is studied in terms of the network strategy and the noise reduction performance. Moreover, using the proposed theoretical analysis, a systematic and simple design procedure for Diff-FxLMS based ANC systems is proposed. The usefulness of the theoretical analysis and design procedure is demonstrated by means of a design example.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of sound and vibration, 9 June 2020, v. 475, 115273en_US
dcterms.isPartOfJournal of sound and vibrationen_US
dcterms.issued2020-06-09-
dc.identifier.scopus2-s2.0-85080992062-
dc.identifier.eissn1095-8568en_US
dc.identifier.artn115273en_US
dc.description.validate202311 bckwen_US
dc.description.oaAuthor’s Originalen_US
dc.identifier.FolderNumberBEEE-0230-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic University; National Natural Science Foundation of China; Guangdong Basic and Applied Basic Research Foundation; Open Projects Fund of Key Laboratory of Ecology and Energy-saving Study of Dense Habitat (Tongji University); Ministry of Educationen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS28677577-
dc.description.oaCategoryGreen (AO)en_US
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