基于CNN的混沌参数扩频调制数字保密通信系统

文章提出了一种基于CNN的混沌参数扩频调制数字保密通信系统。发射时,将CNN混沌输出作为载波,用每个待发送的数字信息信号对CNN多次迭代运算中某一参数在其混沌区域进行相同的调制,实现了参数扩频调制。接收时,利用CNN混沌的发生规则通过简单的信号处理运算恢复出原来的有用信号。由于不需要进行混沌同步,系统实现更简单。分析和仿真表明,文章提出的CNN混沌参数扩频调制通信系统具有极高的保密性能,并且由于采用了扩频处理,误码率远低于传统的混沌参数调制通信系统。

Spread spectrum digital secure communication system via chaotic parameter modulation based on cellular neural network

A spread spectrum digital secure communication system via chaotic parameter modulation based on cellular neural network(CNN) is proposed in this paper.At the transmitter,the CNN chaotic signal is used as the carrier,and one parameter of the CNN is modulated by the transmitted digital signal in its chaotic region as CNN iterations are carried on.At the receiver,the transmitted digital signal is recovered by using the generating rule of CNN chaos through some simple signal processing operations.The implementation of the system is much easier because the chaotic synchronization is no longer needed.The simulation and analysis results show that the proposed CNN spread spectrum digital secure communication system via chaotic parameter modulation is excellent on the secrecy,and its bit-error rate is much lower than those of other conventional chaotic parameter modulation communication systems because of the spread spectrum processing.