数据采集与处理2016，Vol.31Issue(6)：1127-1131,5.
基于模因算法的多模盲均衡算法
Multi-modulus Blind Equalization Algorithm Based on Memetic Algorithm
摘要
Abstract
Due to the slow convergence speed ,large mean square error(MSE) and existing blind phase for the constant modulus blind equalization algorithm (CMA) ,a multi‐modulus blind equalization algorithm based on memetic algorithm (MA‐MMA) is proposed .In this algorithm ,the reciprocal of the cost func‐tion of multi‐modulus blind equalization algorithm (MMA) is defined as the fitness function of the memet‐ic algorithm (MA) .The solution vector of individual in the whole group is regarded as the initial weight vector of MMA .The vector of the individual in whole groups corresponding to the fitness function maxi‐mum is searched by the global information sharing mechanism and local depth search ability of MA and used as the initial optimum weight vector of MMA .After the weight vector of MMA is updated ,the op‐timal weight vector of MMA is obtained .Simulation results prove that compared with CMA ,MMA . The multi‐modulus blind equalization algorithm based on genetic algorithm (GA‐MMA) which has re‐cently been proposed ,the proposed MA‐MMA has the fastest convergence speed ,the smallest MSE ,and the clearest constellations of output signals .关键词
多模算法/模因算法/智能优化算法/最优权向量Key words
multi-modulus algorithm(MMA)/memetic algorithm(MA)/intelligence optimization algo-rithm/optimal weight vector分类
信息技术与安全科学引用本文复制引用
郭业才,彭舒,张苗青,蔡力坚..基于模因算法的多模盲均衡算法[J].数据采集与处理,2016,31(6):1127-1131,5.基金项目
国家自然科学基金（61673222）资助项目；江苏省高校自然科学基金（13KJA510001）重大资助项目。 （）
