CNN混沌扩频通信系统的性能研究

Performance Analysis of CSSS Based on CNN

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。

This paper puts forward a new application of Cellular Neural Networks (CNN) in chaotic spread spectrum systems, that is, investigating the feasibility of implementing impulsive chaos synchronization with CNN and pointing out whether it can be synchronized or not is related to the energy of synchronization impulse. Furthermore, two-valued and multi-valued spread spectrum sequence is generated using CNN and its performance of canceling multi-user interferences and multi-path interferences is analyzed in detail. By simulation, it is proved that CNN can be applied to spread spectrum system effectively.