计算机与数字工程2019，Vol.47Issue(8)：2075-2079,2089,6.DOI:10.3969/j.issn.1672-9722.2019.08.048
基于BP神经网络的数字调制信号样式识别
Recognition of Digital Modulation Signals Based on BP Neural Network
袁梦 1程莉 1党晶晶 1时愈1
作者信息
- 1. 武汉工程大学电气信息学院 武汉 430200
- 折叠
摘要
Abstract
For the communication system that supports multiple modulation modes,automatic recognition of the received sig?nal mode is one of the indispensable functions. This paper studies six common digital modulation signals,extractes five characteris?tic parameters and improves the extraction of instantaneous phase and frequency characteristic parameters. Using BP neural network algorithm for automatic identification,the simulation results in the Gaussian white noise environment show that while SNR≥10dB, the accuracy rate is above 98%.关键词
数字调制/BP神经网络/特征参数Key words
digital modulation/BP neural network/characteristic parameter分类
信息技术与安全科学引用本文复制引用
袁梦,程莉,党晶晶,时愈..基于BP神经网络的数字调制信号样式识别[J].计算机与数字工程,2019,47(8):2075-2079,2089,6.
