%0 Journal Article
%T An Adaptive Chaotic Demodulator Based on Neural Network Strategy<br>一种基于神经网络策略的自适应混沌解调器
%A 冯久超
%A 鲁瑞华
%J 计算机科学
%D 2000
%I 
%X Chaotic modulation is an important spread spectrum (SS) technique among chaotic communications. Based on the merits of the good adaptability and the good convergence of a radial basis function (RBF) neural network, an adaptive chaotic demodulator is proposed in the light of a suggested adaptive learnng algorithm in this paper. The demodulator makes use of the good approximation capacity to a nonlinear dynamical system by the RBF network. It can reliably recover source information from SS signal received by a receiver with the on-line and adaptive modes. The simulation results by using the logistic chaotic system to modulate the different source signals demonstrate the relevant conclusions.
%K Spread spectrum communication
%K RBF neural network
%K Adaptive chaotic demodulator<br>自适应混沌解调器
%K 神经网络
%K 学习算法
%K 扩谱通信
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=6B1F1F8D2009B669&yid=9806D0D4EAA9BED3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=74011071555EB4E5&eid=331211A5F5616413&journal_id=1002-137X&journal_name=计算机科学&referenced_num=2&reference_num=11