Nonlinear distortion compensation of fiber communication based on convolutional neural networks

doi:10.13741/j.cnki.11-1879/o4.2021.06.014

您当前的位置：

首页 >

文章列表页 >

Nonlinear distortion compensation of fiber communication based on convolutional neural networks

更新时间：2025-09-01

- Nonlinear distortion compensation of fiber communication based on convolutional neural networks
- Vol. 47, Issue 6, Pages: 722-727(2021)
- 作者机构：
  
  1:江苏商贸职业学院电子商务与物流学院
- 作者简介：
- 基金信息：
- DOI：10.13741/j.cnki.11-1879/o4.2021.06.014
  CLC：
- Published：2021
- 稿件说明：
移动端阅览
Nonlinear distortion compensation of fiber communication based on convolutional neural networks[J]. 2021, 47(6): 722-727.
DOI：

Nonlinear distortion compensation of fiber communication based on convolutional neural networks[J]. 2021, 47(6): 722-727. DOI： 10.13741/j.cnki.11-1879/o4.2021.06.014.

摘要

针对光纤通信高速传输过程中的非线性效应问题

基于卷积神经网络提出一种光纤通信非线性失真补偿方法。利用卷积神经网络捕捉光纤传输信号的非线性变化特征

在网络最后一层通过回归层对光信号进行非线性拟合;通过量子粒子群优化算法搜索深度卷积神经网络的超参数集

降低卷积神经网络的训练难度。数值仿真实验结果表明

量子粒子群优化算法能够有效地优化卷积神经网络的超参数

并且所训练的卷积神经网络能够改善光纤传输的通信质量。

Abstract

关键词

Keywords

references

Views

448

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Estimation and management of fiber dispersion in the data center based on the deep learning

Classification model of dominant species in desertification grassland based on hyperspectral remote sensing

Brain image registration method based on low-resolution auxiliary features and convolutional neural network

Concealed object detection from millimeter wave images based on DSA-BCNN

Surface defect detection of polarizer based on improved Faster-RCNN

Related Author

瞿国庆

于树科

张锡鹏

毕玉革

杨红艳

皮伟强

刘浩

康拥朝

Related Institution

1:江苏商贸职业学院物联网技术研究所

2:南通智大信息技术有限公司

1:内蒙古农业大学机电学院

1:上海理工大学医学影像工程研究所

3:擎翌(上海)智能科技有限公司

⁰