优化神经网络的光通信系统信号调制方法  

Signal modulation method of optical communication system optimized by neural network

作　　者：杨晋霞[1] 张超[2] YANG Jinxia;ZHANG Chao(Information Engineering Institute, Zhengzhou University of Science & Technology, Zhengzhou 450064, China;Information Engineering Institute,Beijing Jiaotong University, Beijing 100044,China)

机构地区：[1]郑州科技学院,郑州450064 [2]北京交通大学,北京100044

出　　处：《激光杂志》2019年第3期117-119,共3页Laser Journal

基　　金：河南省科技厅自然科学项目(No.142102210513)

摘　　要：光通信系统信号调制技术可用于信号确认、干扰识别、电子战对抗以及星间链路通信等方面。针对光通信系统中的信号调制方法存在耗时较长、误差率较高等问题,提出基于优化神经网络的光通信系统信号调制方法,首先通过采集光通信载波芯片发送的调制信号样值,经过预处理后,提取出光通信系统的四类信号特征参数,然后构建优化神经网络模型对提取到的信号特征参数进行调制类别划分,并为了提高模型调制类型判别的准确性,利用霍特林变换对模型进行优化,实现光通信系统中的信号调制,最后实验结果表明,优化神经网各能够有效减少信号调制时间,降低信号调制过程中的误差,大大提高信号调制准确度。Signal modulation technology in optical communication system can be used in signal recognition,jamming identification,EW,and inter satellite link communication. In light of the problem of long time consuming and high error rate in optical communication system communication,the signal modulation method of optical communication system based on optimal neural network is proposed. First,the four kinds of signals of optical communication system are extracted after preprocessing. In order to improve the accuracy of the model modulation type discrimination,Hotelling transform is used to optimize the model to realize the signal modulation in the communication system of optical communication system. Finally,the experimental results show that the optimized neural network is optimized. The network can effectively reduce signal modulation time,reduce errors in signal modulation process,and greatly improve the accuracy of signal modulation.

关 键 词：光通信系统 信号处理 神经网络 调制技术 

分 类 号：TN271[电子电信—物理电子学]