吉林大学学报（理学版）2018，Vol.56Issue(2)：382-388,7.DOI:10.13413/j.cnki.jdxblxb.2018.02.32
基于小波神经网络的数字信号调制方式识别
Recognition of Digital Signal Modulation Mode Based on Wavelet Neural Network
摘要
Abstract
In view of the problem that the recognition method of digital signal modulation mode was easy to be affected by noise and the recognition error was large,we designed a recognition method of digital signal modulation mode based on wavelet neural network.Firstly,we collected digital signal and extracted the modulation recognition feature from the signal as the classification basis of the digital signal modulation mode.Secondly,we established classifier of digital signals modulation recognition based on neural network,and selected particle swarm optimization algorithm to determine the parameters of the neural network,so as to realize the digital signal modulation recognition. Finally,the simulation test of digital signals modulation recognition was realized on MATLAB 2016 platform.The test results show that,even if the signal-to-noise ratio of digital signal is low,the wavelet neural network can still obtain the ideal digital signal modulation recognition results,and the digital signal modulation recognition rate is higher than that of the contrast method,thus improving the performance of digital signal modulation recognition.关键词
数字信号/调制方式/识别方法/神经网络/粒子群优化算法/分类器设计Key words
digital signal/modulation mode/recognition method/neural network/particle swarm optimization (PSO)algorithm/classifier design分类
信息技术与安全科学引用本文复制引用
梁晔,郝洁,石蕊..基于小波神经网络的数字信号调制方式识别[J].吉林大学学报（理学版）,2018,56(2):382-388,7.基金项目
甘肃省科技攻关项目(批准号:242102310128). （批准号:242102310128）
