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基于RBF神经网络的混沌保密通信的研究
引用本文:许海霞,王春华,周维,王仕果.基于RBF神经网络的混沌保密通信的研究[J].电路与系统学报,2005,10(3):28-31,46.
作者姓名:许海霞  王春华  周维  王仕果
作者单位:湘潭大学,信息工程学院,湖南,湘潭,411105
摘    要:提出一种径向基函数神绎网络(RBFNN)参数调制混沌保密通信方法。在通信系统的发射端设计一个RBF神经网络跟踪器RBFNN1,将信息信号隐藏在混沌系统状态量参数中,再进行混沌掩盖。在接收端,相应的设计一个RBF神经网络跟踪器RBFNN2,则RBFNN2的输出就是解调出的原信息信号。该方法结构简单、易于实现、同步快。通过Chua混沌系统仿真,实验结果表明是可行的。

关 键 词:混沌保密通信  RBF神经网络  跟踪器  调制解调
文章编号:1007-0249(2005)03-0028-04
修稿时间:2004年12月1日

Study of chaotic secure communication based on RBF neural network
XU Hai-xia,WANG Chun-hua,ZHOU Wei,WANG Shi-guo.Study of chaotic secure communication based on RBF neural network[J].Journal of Circuits and Systems,2005,10(3):28-31,46.
Authors:XU Hai-xia  WANG Chun-hua  ZHOU Wei  WANG Shi-guo
Abstract:Based on modulation of chaotic parameter of RBF neural network, a secure communication method is proposed in this paper. In the transmitter, a tracker of RBF neural network (RBFNN1) is set up to hide the information signal into state vector of chaotic system, then chaotic masking. In the receiver, to recover information, another tracker of RBF neural network (RBFNN2) is designed correspondingly. Then output of the RBFNN2 is the recovered signal. The method is characteristic by simple structure, rapid synchronization and easy to get. Chua chaotic system given has been taken as an example for the simulation. Simulation result shows that the method is practicable.
Keywords:chaotic communication of security  RBF neural network  tracker  modulation and demodulation
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