Nassar A.M.El. Nahal W.Electronics and Communication Dept.Faculty of EngineeringCairo UniversityGizaEgypt; Communication Dept.MSA UniversityEgypt2020-01-252020-01-2520109.78E+12https://doi.org/10.1109/ICENCO.2010.5720442https://ieeexplore.ieee.org/document/5720442ScopusRecently 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.EnglishBlind equalizationChannel equalizationConstant Modulus Algorithm (CMA)Exponentially Weighted Step-size Recursive Least Squares (EXP-RLS) algorithmRecursive least squared (RLS) algorithmErrorsMean square errorSignal to noise ratioAdaptive blind equalizationChannel equalizationConstant modulus algorithmsEqualization techniquesRate of convergenceReceiver performanceRecursive least square (RLS)Research interestsBlind equalizationConference Paperhttps://doi.org/10.1109/ICENCO.2010.5720442