摘要
提出一种针对常见数字通信信号调制方式的识别方法,该方法以信号的循环谱相关特征为主,选取一组受载频、字符率变化影响较小,而且抗噪能力较好的特征参数,设定相关门限,设计了带有多分支判决的决策树分类器,对7种常见的数字信号调制方式的识别进行计算机仿真。仿真结果表明,在信号载频、字符率未知,并对信号非整数倍采样的情况下,带内信噪比(Eb/N0)大于等于8dB时,总体识别率能够达到90%以上。
A recognition method of the common digital communication signal modulation is proposed. This method mainly uses the signal＇s cyclic spectral function, selects a group of characteristic parameters with less effect by carrier frequency and the change of symbol rate. With better noise immunity, it sets the related threshold, and designs a Multi-branch decision tree classifier. The simulation results of seven colnmon modulation of the digital signal show that in the case of unknown carrier frequency and symbol rate, and non-inte- ger sample rate of the signal, and when the band SN1K （Eb/N0） greater than or equal 8dB, the total correct recognition rate is more than 90%.
出处
《通信对抗》
2011年第4期24-27,40,共5页
Communication Countermeasures
基金
国家科技重大专项基金(2008ZX03006-002)
关键词
调制识别
循环谱相关
多分支判决
数字信号
modulation recognition
cyclic spectral correlation
multi-branch decision
digital signal
