光通信技术2017，Vol.41Issue(11)：20-22,3.DOI:10.13921/j.cnki.issn1002-5561.2017.11.006
RBF神经网络在光通信粗跟踪系统中的应用
Application of RBF neural network in optical communication coarse tracking system
郑纳川 1艾勇 1林贻翔 1陈晶1
作者信息
- 1. 武汉大学 电子信息学院,武汉 430079
- 折叠
摘要
Abstract
For wireless optical communication system,the nonlinearity and time-varying uncertainty can cause the instability of communication.In order to solve this problem,this paper proposes a PID intelligent control strategy based on the radial basis function (RBF) neural network to work as a control method of coarse tracking.This paper firstly describes the principle of the photoelectric tracking system.Then the RBF neural network supervisory control structure is introduced after the establishment of the system model.At last,the validity of the algorithm is verified by the experimental platform.关键词
光通信/粗跟踪/PID控制/RBF神经网络Key words
laser communication/coarse tracking/PID control/RBF neural network分类
信息技术与安全科学引用本文复制引用
郑纳川,艾勇,林贻翔,陈晶..RBF神经网络在光通信粗跟踪系统中的应用[J].光通信技术,2017,41(11):20-22,3.
