数据采集与处理2017，Vol.32Issue(6)：1082-1088,7.DOI:10.16337/j.1004-9037.2017.06.002
基于非线性Volterra信道的复数神经多项式盲均衡算法
Nonlinear Volterra Channel Based Complex-Valued Neural Polynomial Blind Equaliza-tion Algorithm
摘要
Abstract
Aiming at the low convergence rate and high mean square error of traditional constant modulus algorithm(CMA) and too many parameters and high complexity of traditional neural network ,a complex neural polynomial blind equalization algorithm based on nonlinear Volterra channel is studied . In the studied algorithm ,the complex-valued neural polynomial with a single layer neural network and nonlinear processor has very simple structure and low complexity .And the fuzzy rule controller based on fuzzy neu-ral network (FNN) can effectively control the step-size of scale factor .The simulation results show that the proposed algorithm not only has simple structure ,low complexity ,fast convergence speed and small steady-state error , but also can solve the contradiction between convergence speed and mean square error .关键词
盲均衡/模糊控制/Volterra信道/复数神经多项式Key words
blind equalization/fuzzy controlling/Volterra channels/complex-valued neural polynomial分类
信息技术与安全科学引用本文复制引用
郭业才,郑梦含,张珊,万逸儒..基于非线性Volterra信道的复数神经多项式盲均衡算法[J].数据采集与处理,2017,32(6):1082-1088,7.基金项目
国家自然科学基金(61673222,61371131)资助项目 （61673222,61371131）
江苏省高校自然科学研究重大(13KJA510001)资助项目 （13KJA510001）
江苏高校品牌专业建设(PPZY2015B134)资助项目. （PPZY2015B134）
