Neural network-based chaotic shift keying communication scheme

被引:0
|
作者
Duan, Lian [1 ]
Gao, Xiaojing [2 ]
Zeng, Yijun [2 ]
Peng, Chengyu [1 ]
Qin, Xi [1 ]
Wei, Jiazheng [1 ]
Li, Zhaoyang [1 ]
Cheng, Mengfan [3 ,4 ]
机构
[1] Guangxi Transport Vocat & Tech Coll, Traff Informat Engn Inst, Nanning 530023, Guangxi, Peoples R China
[2] China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China
[3] Huazhong Univ Sci & Technol HUST, Natl Engn Lab Next Generat Internet Access Syst, Sch Opt & Elect Informat, Wuhan 430074, Peoples R China
[4] Jinyinhu Lab, Wuhan 430040, Peoples R China
来源
OPTICS EXPRESS | 2024年 / 32卷 / 22期
基金
中国国家自然科学基金;
关键词
OPTICAL COMMUNICATIONS; TRANSMISSION; GBIT/S;
D O I
10.1364/OE.537535
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Chaos-based secure communication technology can provide secure protection for the information transmission at the physical layer. In this paper, a neural network-based chaos shift keying communication scheme is proposed. This scheme carries digital information by altering the underlying time-delayed dynamical mapping relationships of the system. It utilizes the nonlinear modeling capability of neural networks to extract and judge the underlying time-delayed dynamical mapping relationships, thus achieving demodulation without the need for physical synchronization. In numerical simulations, the scheme exhibits high noise resistance and can effectively resist return mapping attacks and time delay signature extraction, providing possibilities for secure communication under poor conditions.
引用
收藏
页码:39896 / 39905
页数:10
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