基于神经网络的舰船通信网络信道均衡控制研究  

Research on channel equalization control of ship communication network based on neural network

作　　者：娄松涛[1] LOU Song-tao(Henan Polytechnic,Zhengzhou 450046,China)

机构地区：[1]河南职业技术学院,河南郑州450046

出　　处：《舰船科学技术》2021年第18期148-150,共3页Ship Science and Technology

基　　金：河南省高等教育教学改革研究与实践项目(2019SJGLX711)

摘　　要：舰船通信系统的信号噪声源包括外界干扰噪声、码间干扰噪声和设备白噪声等,这些噪声信号会降低船舶通信系统的精度,因此,采用恰当的策略进行舰船通信系统的信号处理是一项热点研究。本文介绍舰船通信网络的信道均衡化原理,基于模糊神经网络算法设计了通信网络的均衡化控制器,并进行了通信网络的信道均衡化特性仿真试验,取得良好的效果。The signal noise sources of ship communication system include external interference noise,inter symbol interference noise and equipment white noise.These noise signals will reduce the accuracy of ship communication system.Therefore,it is a hot research to adopt appropriate strategies for signal processing of ship communication system.This paper introduces the channel equalization principle of ship communication network,designs the equalization controller of communication network based on fuzzy neural network algorithm,and carries out the simulation test of channel equalization characteristics of communication network,and achieves good results.

关 键 词：神经网络 信道 均衡化 仿真 模糊 

分 类 号：TN915[电子电信—通信与信息系统]