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CNN混沌保密通信系统抗噪声性能的增强
引用本文:苏野平,何晨,诸鸿文.CNN混沌保密通信系统抗噪声性能的增强[J].上海交通大学学报,1999,33(9):1080-1084.
作者姓名:苏野平  何晨  诸鸿文
作者单位:上海交通大学电子工程系上海 200030
摘    要:为在实际信道传输时减少加性噪声对CNN混沌保密通信系统性能的影响,在接收端使用限带滤波器并用频带补偿法来保证CNN混沌系统的自同步,从而在用参数调制法作为加密方案的保密通信系统中获得解调性能的提高.理论与数值模拟结果表明,参数调制法确实减小了系统的同步及解调误差.

关 键 词:细胞神经网络  参数调制  保密通信  频带补偿
文章编号:1006-2467(1999)09-1080-05
修稿时间:1998年12月4日

Improvement of CNN Chaotic Secure Communication's Noise Performance
SUYe ping,HEChen,ZHUHong w en Dept. ofElectronic Eng.,ShanghaiJiaotong Univ.,Shanghai,China.Improvement of CNN Chaotic Secure Communication's Noise Performance[J].Journal of Shanghai Jiaotong University,1999,33(9):1080-1084.
Authors:SUYe ping  HEChen  ZHUHong w en Dept ofElectronic Eng  ShanghaiJiaotong Univ  Shanghai  China
Institution:SUYe ping,HEChen,ZHUHong w en Dept. ofElectronic Eng.,ShanghaiJiaotong Univ.,Shanghai200030,China
Abstract:Cellular neuralnetworks (CNN) chaotic secure com m unication is a new secure com m unication schem e based on chaotic synchronization. Aband lim itfilterwasused atthe receiverside ofthe system in order to reduceeffectofchannelnoise, and theself synchronization ofCNNchaoticsystem wasguaranteed by frequency com pensation m ethod. Im provem entofdem odulation perform anceofthesystem w asachieved w hen param eter m odulation was used as encryption schem e. The theoretical and num erical sim ulation resultsshow thatthism ethod has assuredly reduced errorsofsynchronization and dem odulation.
Keywords:cellular neuralnetw orks (CNN)  param eter m odulation  secure com m unication  frequency  com pensation (FC)
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