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

Ling YANG; Qin HAN; Li CHENG; Aonan ZHAO; Juan DU

doi:10.11959/j.issn.1000-436x.2020031

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

Papers | 更新时间：2024-06-05

- Online blind equalization algorithm with echo state network based on prediction principle
- Journal on Communications Vol. 41, Issue 3, Pages: 145-153(2020)
- 作者机构：
  
  兰州大学信息科学与工程学院，甘肃兰州 730000
- 作者简介：
- 基金信息：
  
  The Natural Science Foundation of Gansu Province(20180322);The Fundamental Research Fund for the Central Universities(lzujbky-2019-91)
- DOI：10.11959/j.issn.1000-436x.2020031
  CLC： TN911.5
- Online First：2020-03，
  
  Published：25 March 2020
- 稿件说明：
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Ling YANG, Qin HAN, Li CHENG, et al. Online blind equalization algorithm with echo state network based on prediction principle[J]. Journal on Communications, 2020, 41(3): 145-153.
DOI：

Ling YANG, Qin HAN, Li CHENG, et al. Online blind equalization algorithm with echo state network based on prediction principle[J]. Journal on Communications, 2020, 41(3): 145-153. DOI： 10.11959/j.issn.1000-436x.2020031.

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。

Abstract

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.

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references

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