摘要
本文提出了一种利用高阶累积量实现OFDM信号和单载波调制信号识别的方法。该方法利用接收信号的高阶累积量提取特征参数,并结合星座图聚类分析,采用一种决策树的多分类器实现信号的分类识别。使用的特征参数对信号的信道抖动和相位延时不敏感,且能抑制噪声的影响,易于工程实现。仿真和实验结果表明,该方法能有效识别出OFDM信号和单载波信号,具有一定的实际应用价值和发展前景。
This paper proposes an algorithm for OFDM signal and single carrier signal recognition based,on high-order cumulants.The algorithm uses high-order cumulants of signals and constellation clustering analysis,and uses a multi classifier of decision tree to classify signals.The characteristic parameters in the algorithm are insensitive to the channel jitter and phase delay of the signal,and can suppress the impact of noise,which is easy to be implemented in engineering.Simulation and experimental results show that the proposed method can effectively identify OFDM signals and single carrier signals,and has certain practical application value and development prospects.
作者
位小记
张俊威
万紫
吉彦军
WEI Xiaoji;ZHANG Junwei;WAN Zi;JI Yanjun(Jiaxing Vocational and Technical College,Jiaxing,Zhejiang 314036,China)
出处
《自动化应用》
2023年第1期100-103,共4页
Automation Application
基金
嘉兴市公益性研究计划项H(2022AD10025)
嘉兴职业技术学院校立科研项目(jzyz202211)。
关键词
高阶累积量
星座图聚类
调制识别
OFDM信号
多分类器
high order cumulant
constellation clustering
modulation recognition
OFDM signal
multiple classifier