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提出了一种基于细胞神经网络和混沌交错反馈产生扩频序列的设计方法,用计算机仿真对该混沌扩频序列的平衡特性、游程特性、位移特性、相关特性和线性复杂度等伪随机特性进行了系统的分析,并分析了该序列的奇/偶相关特性。结果表明,该混沌扩频序列具有理想的伪随机特性,可以作为扩频通信中的扩频码,同时系统的交错加强了通信的保密性。
A design method based on Cellular Neural Network and Chaotic Interleaved Feedback to generate spread spectrum sequences is proposed. The pseudorandom characteristics such as the balance characteristic, run characteristic, displacement characteristic, correlation characteristic and linear complexity of the chaotic spread spectrum sequence are simulated by computer simulation The system analysis, and analysis of the sequence of odd / even correlation characteristics. The results show that the chaotic spreading sequence has ideal pseudo-random characteristics and can be used as the spreading code in spread spectrum communication. At the same time, the system interleaving enhances the confidentiality of communication.