基于特征融合的DCSK调制方式识别技术
DCSK Modulation Mode Recognition Technology Based on Feature Fusion
隋涛 1李笑 1于其豪 2金大凯1
作者信息
- 1. 沈阳理工大学 自动化与电气工程学院,沈阳 110159
- 2. 沈阳理工大学 信息科学与工程学院,沈阳 110159
- 折叠
摘要
差分混沌移位键控(differential chaos shift keying,DCSK)系统由于采用了类噪声的混沌信号作为载波信号,在保密通信中具有广阔的应用前景.开展DCSK调制方式识别技术研究有利于军用通信系统信号的认知和分选,为此提出基于特征融合的DCSK调制方式识别技术.该技术从统计域、时域、频域对改进的DCSK调制信号进行特征提取并分析,根据提取的特征维度建立数据模型,由数据模型与相应的评价因素权向量确定改进DCSK调制信号的阈值,从而实现对DCSK 调制方式的识别.Matlab 仿真实验结果表明该模型具有有效性和准确性.
Abstract
Differential chaos shift keying(DCSK)system has a broad application prospect in classi-fied communication due to the use of noise-like chaotic signals as carrier signals.Carrying out the research on DCSK modulation mode recognition technology is beneficial to the cognition and sor-ting of signals in military communication systems,and for this reason,a DCSK modulation mode recognition technology based on feature fusion is proposed.The technology extracts and analyzes the features of the improved DCSK modulation signal from the statistical,temporal and frequency domains,establishes a data model based on the extracted feature dimensions,and determines the range of the improved DCSK modulation signal from the data model with the corresponding evalua-tion factor weight vectors to recognize the DCSK modulation mode.The validity and accuracy of the model are verified by Matlab simulation experiments.
关键词
差分混沌移位键控/特征提取/特征融合/调制方式识别Key words
differential chaos shift keying/feature extraction/feature fusion/modulation mode rec-ognition引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据