MMSE design of nonlinear Volterra equalizers using artificial bee colony algorithm

作     者：Singh, Th Suka Deba Chatterjee, Amitava 

作者机构：Jadavpur Univ Elect Engg Dept Kolkata 700032 India 

出 版 物：《MEASUREMENT》 (测量)

年 卷 期：2013年第46卷第1期

页      面：210-219页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 

主　　题：Channel equalization Volterra system Artificial bee colony algorithm Minimum mean square error 

摘      要：In this paper a novel approach for channel equalization is presented, where a framework for Volterra system is used to model both the channel and the equalizer. We propose development of first-order and second-order Volterra equalizers using minimum mean square error (MMSE) approach and design these equalizers using swarm intelligence based stochastic optimization algorithm which is applied to adapt the equalizer coefficients to the time varying channel. This work proposes to use the artificial bee colony (ABC) algorithm, recently introduced for global optimization, simulating the intelligent foraging behavior of honey bee swarm in a simple, robust, and flexible manner. For comparative analysis, adaptive equalizers like least mean squares (LMSs) equalizer, recursive least squares (RLSs) equalizer and least mean p-Norm (LMP) equalizer and population based optimum equalizers employing PSO are also applied for identical problems and the superiority of the newly proposed algorithm is aptly demonstrated. (C) 2012 Elsevier Ltd. All rights reserved.