【摘要】 <正> 1 引言随着对通信服务质量和通信容量迅速增加的需要,扩频通信正越来越受到人们的重视。它的主要特征是通过自相关函数接近δ函数的伪随机码将信源信息扩展成宽带信号,接收机将接收到的扩频信号解扩以恢复信源信息。随着非线性动力学和混沌理论的成熟,基于混沌的扩频通信正引起了许多研究者的注更多还原

【Abstract】 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.更多还原