Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/5359
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dc.contributor.authorAkkad, Ghattasen_US
dc.contributor.authorMansour, Alien_US
dc.contributor.authorElHassan, Bacharen_US
dc.contributor.authorInaty, Elieen_US
dc.date.accessioned2022-01-24T09:23:09Z-
dc.date.available2022-01-24T09:23:09Z-
dc.date.issued2021-
dc.identifier.issn15206149-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/5359-
dc.description.abstractIn this paper, we propose a discrete time transfer function approximation for the reduced complexity parallel least mean square (RC-pLMS) adaptive beamforming algorithm. The RC-pLMS is built using a single least mean square (LMS) stage whose inputs are obtained as a linear combination of the present and past sample. Thus, in order to numerically assess the RC-pLMS stability and to determine the approximate maximum parametric value of the step size for which it remains stable, we derive its discrete time transfer function approximate. In this approximation, the input uniform linear antenna array is remodeled as a finite impulse response (FIR) fractional delay Farrow filter. Computer simulations, presented by the mean square error and beam radiation pattern, demonstrates the validity of the transfer function approximate. Additionally, the RC-pLMS stability is evaluated, with respect to the pole-zero plot, for different step sizes and the approximate upper bound value of the step size is determined.en_US
dc.language.isoengen_US
dc.subjectAdaptive beamformingen_US
dc.subjectFarrow filteren_US
dc.subjectLMSen_US
dc.subjectParallel LMSen_US
dc.subjectTransfer functionen_US
dc.titleStability analysis of the RC-PLMS adaptive beamformer using a simple transfer function approximationen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Conference on Acoustics, Speech, and Signal Processing, ICASSP ( 6-11 June, 2021 : Toronto, Canada )en_US
dc.identifier.doi10.1109/ICASSP39728.2021.9413445-
dc.identifier.scopus2-s2.0-85114877056-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85114877056-
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.date.catalogued2022-01-24-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://ieeexplore.ieee.org/document/9413445en_US
dc.relation.ispartoftextICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_US
crisitem.author.parentorgFaculty of Engineering-
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Computer Engineering
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