New FxLMAT-Based Algorithms for Active Control of Impulsive Noise

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dc.authoridAFZAL, FARKHANDA/0000-0001-5396-7598
dc.authoridMirza, Alina/0000-0001-7227-253X
dc.authoridQureshi, Waqar Shahid/0000-0003-0176-8145
dc.authoridwakeel, abdul/0000-0002-9746-6290
dc.contributor.authorMirza, Alina
dc.contributor.authorAfzal, Farkhanda
dc.contributor.authorZeb, Ayesha
dc.contributor.authorWakeel, Abdul
dc.contributor.authorQureshi, Waqar Shahid
dc.contributor.authorAkgul, Ali
dc.date.accessioned2024-12-24T19:28:33Z
dc.date.available2024-12-24T19:28:33Z
dc.date.issued2023
dc.departmentSiirt Üniversitesi
dc.description.abstractIn the presence of non-Gaussian impulsive noise (IN) with a heavy tail, active noise control (ANC) algorithms often encounter stability problems. While adaptive filters based on the higher-order error power principle have shown improved filtering capability compared to the least mean square family algorithms for IN, however, the performance of the filtered-x least mean absolute third (FxLMAT) algorithm tends to degrade under high impulses. To address this issue, this paper proposes three modifications to enhance the performance of the FxLMAT algorithm for IN. To improve stability, the first alteration i.e. variable step size FxLMAT (VSSFxLMAT)algorithm is suggested that incorporates the energy of input and error signal but has slow convergence. To improve its convergence, the second modification i.e. filtered x robust normalized least mean absolute third (FxRNLMAT) algorithm is presented but still lacks robustness. Therefore, a third modification i.e. modified filtered-x RNLMAT (MFxRNLMAT) is devised, which is relatively stable when encountered with high impulsive noise. With comparable computational complexity, the proposed MFxRNLMAT algorithm gives better robustness and convergence speed than all variants of the filtered-x least cos hyperbolic algorithm, and filtered-x least mean square algorithm.
dc.description.sponsorshipIReL Consortium
dc.description.sponsorshipThis work was supported by the Open Access funding provided by the IReL Consortium.
dc.identifier.doi10.1109/ACCESS.2023.3293647
dc.identifier.endpage81288
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85164669601
dc.identifier.scopusqualityQ1
dc.identifier.startpage81279
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2023.3293647
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7116
dc.identifier.volume11
dc.identifier.wosWOS:001045235100001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Access
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectAdaptive signal processing
dc.subjectnon-Gaussian
dc.subjectmean noise reduction
dc.titleNew FxLMAT-Based Algorithms for Active Control of Impulsive Noise
dc.typeArticle

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