基于RBF网络的舰船混沌保密通信系统研究

介绍了利用RBF网络产生混沌序列的方法,无需针对每一种混沌映射设计单一的系统结构,增加了混沌序列的复杂度和抗噪声能力.同时还分析了RBF神经网络跟踪混沌序列的学习能力.仿真结果表明,利用 RBF网络输出混沌序列,不仅跟踪速度快而且精度高.对输出的混沌序列的统计特性进行检验,表明RBF网络产生的序列有良好的伪随机特性.

Warship chaotic secure communication system based on RBF neural network

In this paper, application of RBF neural network to generate chaotic sequence is introduced, as a result, there is no need to design chaotic system for every chaotic map, complexity and antinoise capability are also enhanced. The learning ability of RBF neural network to trace chaotic sequence is analyzed. Simulation results show no only tracing speed is fast, but also precision is high with RBF to output chaotic sequence. Tests of statistical property of chaotic sequence generated by RBF indicate that it has good pseudo-random performance.