【摘要】 针对混沌信号的伪随机性和易于产生等特点 ,以改进的Logistic映射为例 ,用混沌序列取代跳频通信中的跳频码 ,给出了混沌跳频序列的神经网络实现 ;提出了用模糊控制的方法产生模糊随机序列 ,并以此控制混沌跳频系统的同步。计算机仿真结果表明 ,此方法是可行的 ,能达到良好的同步更多还原

【Abstract】 A chaotic signal has pseudo-stochastic property and can be easily generated .In this paper, it is proposed to replace the frequency-hopping (FH) code by the chaotic sequence based on a modified logistic map, and implement the chaotic FH sequence with a neural network. Furthermore, a fuzzy controlling technique is used to generate a fuzzy random sequence and make two chaotic FH systems synchronize with this sequence. The computer simulation results show that this approach is feasible and good synchronization of FH codes can be attained.更多还原