光通信技术2025，Vol.49Issue(3)：22-26,5.DOI:10.13921/j.cnki.issn1002-5561.2025.03.004
基于通道注意力机制的MIMO神经网络均衡算法
MIMO neural network equalization algorithm based on channel attention mechanism
摘要
Abstract
A multiple input multiple output(MIMO)neural network equalization algorithm based on channel attention mecha-nism(MIMO-NNE-CAM)is proposed to address the problem of mode crosstalk in mode division multiplexing optical transmis-sion systems.This algorithm introduces a channel attention mechanism to focus the neural network on more important channel features,achieving effective signal equalization.In order to verify the performance of the algorithm,a the third mock examination mode division multiplexing system is built on the VPI Transmission simulation platform for testing.The experimental results show that,under the condition of a bit error rate(BER)of 1×10-3,the MIMO-NNE-CAM algorithm achieves performance gains of 1.3 dB and 3.1 dB compared to the original MIMO-NNE and least mean square(LMS)algorithms,respectively.Moreover,it maintains stable bit error rate performance even under strong coupling conditions,demonstrating faster convergence speed and enhanced anti-coupling capability.关键词
信道均衡/模分复用/神经网络/模间串扰/通道注意力机制Key words
channel equalization/modular division multiplexing/neural network/inter modal crosstalk/channel attention mech-anism分类
电子信息工程引用本文复制引用
户俊杰,延凤平,郭浩,王鹏飞,骆长亮..基于通道注意力机制的MIMO神经网络均衡算法[J].光通信技术,2025,49(3):22-26,5.基金项目
国家重点研发计划项目(2021YFB2800900)资助 （2021YFB2800900）
国家自然科学基金重点项目(62335001)资助. （62335001）
