本文把细胞神经网络 (CNN)理论应用于混沌扩频通信系统 (CSSS) ,研究了细胞神经网络实现脉冲式混沌同步的可行性 ,指出能否同步和同步脉冲的能量有关 ,而且用CNN产生了性能优良的二值和多值随机码 ,并对系统的抗多址和多径干扰的性能进行了研究。通信系统的仿真实验表明 ,CNN能够很好地应用于扩频通信系统。 In this paper, the theory of cellular neural network (CNN) is applied to the chaotic spread spectrum communication system (CSSS). The feasibility of implementing pulse chaos synchronization in Cellular Neural Networks is also studied. It is pointed out that the energy of synchronization and synchronization pulses can be synchronized, Excellent performance of binary and multi-valued random codes, and the performance of the system against multiple access and multipath interference were studied. The simulation of communication system shows that CNN can be well used in spread spectrum communication system.