Adaptive blind equalization technique to enhance the Constant Modulus Algorithm performance

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dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorNassar A.M.
dc.contributor.authorEl. Nahal W.
dc.contributor.otherElectronics and Communication Dept.
dc.contributor.otherFaculty of Engineering
dc.contributor.otherCairo University
dc.contributor.otherGiza
dc.contributor.otherEgypt; Communication Dept.
dc.contributor.otherMSA University
dc.contributor.otherEgypt
dc.date.accessioned2020-01-25T19:58:33Z
dc.date.available2020-01-25T19:58:33Z
dc.date.issued2010
dc.descriptionScopus
dc.description.abstractRecently blind equalizers have a wide range of research interest since they do not require training sequence and extra bandwidth, but the main weaknesses of these approaches are their high computational complexity and slow adaptation, so different algorithms are presented to avoid this nature. This paper introduces a new blind equalization technique, the Exponentially Weighted Step-size Recursive Least Squares Constant Modulus Algorithm (EXP-RLS-CMA), based upon the combination between the Exponentially Weighted Step-size Recursive Least Squares (EXP-RLS) algorithm and the Constant Modulus Algorithm (CMA), by providing several assumptions to obtain faster convergence rate to an optimal delay where the Mean Squared Error (MSE) is minimum, and so this selected algorithm can be implemented in digital system to improve the receiver performance. Simulations are presented to show the excellence of this technique, and the main parameters of concern to evaluate the performance are, the rate of convergence, the mean square error (MSE), and the average error versus different signal-to-noise ratios. � 2011 IEEE.en_US
dc.identifier.doihttps://doi.org/10.1109/ICENCO.2010.5720442
dc.identifier.isbn9.78E+12
dc.identifier.otherhttps://doi.org/10.1109/ICENCO.2010.5720442
dc.identifier.urihttps://ieeexplore.ieee.org/document/5720442
dc.language.isoEnglishen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartofseriesICENCO'2010 - 2010 International Computer Engineering Conference: Expanding Information Society Frontiers
dc.subjectBlind equalizationen_US
dc.subjectChannel equalizationen_US
dc.subjectConstant Modulus Algorithm (CMA)en_US
dc.subjectExponentially Weighted Step-size Recursive Least Squares (EXP-RLS) algorithmen_US
dc.subjectRecursive least squared (RLS) algorithmen_US
dc.subjectErrorsen_US
dc.subjectMean square erroren_US
dc.subjectSignal to noise ratioen_US
dc.subjectAdaptive blind equalizationen_US
dc.subjectChannel equalizationen_US
dc.subjectConstant modulus algorithmsen_US
dc.subjectEqualization techniquesen_US
dc.subjectRate of convergenceen_US
dc.subjectReceiver performanceen_US
dc.subjectRecursive least square (RLS)en_US
dc.subjectResearch interestsen_US
dc.subjectBlind equalizationen_US
dc.titleAdaptive blind equalization technique to enhance the Constant Modulus Algorithm performanceen_US
dc.typeConference Paperen_US
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