Regularized Constant Modulus Algorithm: An improvement on Convergence rate and Steady-State Statistics for blind adaptive eqalization

This paper addresses the problems of poor convergence and high value of mean square error, embedded with various blind adaptive equalization techniques in mobile communication and proposes an improved design providing enhancement in performance and ease of operation. The effectiveness of proposed approach is evaluated against different algorithms and simulations prove that design facilitate in reducing convergence time and low MSE. Proposed algorithm also ensures that equalizer does not converge to any wrong solutions under time varying and noisy conditions.