基于鲶鱼效应粒子群优化的变参误差盲均衡算法

doi:10.16182/j.issn1004731x.joss.201809042

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (9): 3558-3563.doi: 10.16182/j.issn1004731x.joss.201809042

基于鲶鱼效应粒子群优化的变参误差盲均衡算法

郭业才^1,2, 吴际平¹

1. 南京信息工程大学电子与信息工程学院,江苏南京 210044;
2. 南京信息工程大学江苏省大气环境与装备技术协同创新中心,江苏南京 210044

收稿日期:2017-01-06 出版日期:2018-09-10 发布日期:2019-01-08
作者简介:郭业才(1962-),男,安徽安庆,博士,教授,博导,研究方向为通信信号处理、自适应盲均衡技术。
基金资助:
国家自然科学基金(61673222),江苏省高校自然科学基金(13KJA510001),江苏高校品牌专业建设项目(PPZY2015B134)

Blind Equalization Algorithm of Variable Segment Error Function Based on Catfish Effect Particle Swarm Optimization

Guo Yecai^1,2, Wu Jiping¹

1. School of Electronic and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;
2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received:2017-01-06 Online:2018-09-10 Published:2019-01-08

摘要/Abstract

摘要： 为克服常模算法(CMA)收敛速度慢、稳态误差大的缺点,提出了基于鲶鱼效应粒子群算法优化的变参误差常模盲均衡算法(CEPSO-VSCMA)。该算法在变参误差常模盲均衡算法(VSCMA)的基础上,融入鲶鱼效应粒子群算法,利用粒子群的随机搜索,寻找全局最优解,同时结合鲶鱼效应,利用具有活力和竞争力的鲶鱼个体促使粒子群活跃起来,加快收敛。仿真结果表明：与CMA、VSCMA和基于粒子群算法优化的变参误差常数模盲均衡算法(PSO-VSCMA)相比,该算法提高了收敛速度、减小了均方误差。

关键词: 粒子群算法, 常模盲均衡, 鲶鱼效应, 变参误差

Abstract: In order to overcome the disadvantage of the slow convergence rate and big steady state error of constant modulus algorithm (CMA), a variable segment error constant modulus blind equalization algorithm based on the catfish effect particle swarm optimization algorithm (CEPSO-VSCMA) is proposed. The algorithm introduces catfish effect particle swarm optimization on the base of VSCMA, finding the globally optimal solution with the global searching of particle swarm. Meanwhile, vibrant and competitive catfish individual are employed to reactivate particle swarm and accelerate convergence. The simulation results show that the proposed algorithm performs better in improving convergence rate, decreasing inter-symbol interference with CMA, VSCMA and PSO-VSCMA.

Key words: particle swarm optimization algorithm, CMA, catfish effect, variable segment error function

中图分类号:

TN991.5

郭业才, 吴际平. 基于鲶鱼效应粒子群优化的变参误差盲均衡算法[J]. 系统仿真学报, 2018, 30(9): 3558-3563.

Guo Yecai, Wu Jiping. Blind Equalization Algorithm of Variable Segment Error Function Based on Catfish Effect Particle Swarm Optimization[J]. Journal of System Simulation, 2018, 30(9): 3558-3563.

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基于鲶鱼效应粒子群优化的变参误差盲均衡算法

Blind Equalization Algorithm of Variable Segment Error Function Based on Catfish Effect Particle Swarm Optimization

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