基于预测原理的回声状态网络在线盲均衡算法  

Online blind equalization algorithm with echo state network based on prediction principle

作　　者：杨凌[1] 韩琴 程丽 赵傲男 杜娟[1] YANG Ling;HAN Qin;CHENG Li;ZHAO Aonan;DU Juan(Institute of Information Science and Engineering,Lanzhou University,Lanzhou 730000,China)

机构地区：[1]兰州大学信息科学与工程学院,甘肃兰州730000

出　　处：《通信学报》2020年第3期145-153,共9页Journal on Communications

基　　金：甘肃省自然科学基金资助项目(No.20180322);中央高校基础研究基金资助项目(No.lzujbky-2019-91)。

摘　　要：针对非线性信道,基于预测原理提出了回声状态网络(ESN)在线盲均衡算法,首先将具有良好非线性映射能力的ESN代替传统的线性预测误差滤波器,并采用递归最小二乘(RLS)算法计算网络的输出权值,使网络预测误差达到最小;然后进行幅值和相位的调整。仿真实验表明,对于16QAM信号,所提算法可以有效降低非线性信道对发送信号产生的畸变。与其他基于预测原理的盲均衡算法相比,所提算法有更低的均方误差值和更快的收敛速度。In view of the nonlinear channel,the online blind equalization algorithm with echo state network was proposed based on prediction principle.In the proposed algorithm,the traditional linear prediction error filter was replaced by the ESN with good nonlinear mapping ability,and recursive least square(RLS)algorithm was used to calculate the output weight of the network to minimize the network prediction error.Then,the amplitude and phase were adjusted.Simulation results show that the proposed algorithm can effectively reduce the distortion caused by nonlinear channel to the transmitted signal for 16QAM signal,which has lower mean square error and faster convergence speed in comparison with other blind equalization algorithms based on prediction principle.

关 键 词：非线性信道 预测误差滤波器 回声状态网络 递归最小二乘算法 

分 类 号：TN911.5[电子电信—通信与信息系统]