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CNN混沌扩频通信系统的性能研究
引用本文:汪海明,赵建业,郭仕德,余道衡.CNN混沌扩频通信系统的性能研究[J].国际商务研究,2002,42(6):99-103.
作者姓名:汪海明  赵建业  郭仕德  余道衡
作者单位:[1]北京大学电子学系、北京大学视觉与听觉信息处理国家实验室,北京100871 [2]北京大学遥感与地理信息系统研究所,北京100871
基金项目:国家863计划资助课题(No.2001AA136030)
摘    要: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,指出能否同步与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。

关 键 词:CNN  扩频通信  细胞神经网络  混沌  脉冲式混沌同步  仿真

Performance Analysis of CSSS Based on CNN
WANG Hai-ming,ZHAO Jian-ye,GUO Shi-de,YU Dao-heng.Performance Analysis of CSSS Based on CNN[J].International Business Research,2002,42(6):99-103.
Authors:WANG Hai-ming  ZHAO Jian-ye  GUO Shi-de  YU Dao-heng
Abstract: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.
Keywords:Spread spectrum communication  Cellular neural network  Chaos  Impulsive chaos synchronization  Simulation
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