摘要
提出了一个新颖的跟踪器来重构发射的混沌信号 .它是基于一个修改的径向基函数神经网络 (RBF) ,并配合一个用于跟踪在有参数变化的噪声混沌信号的学习算法 .该跟踪器被用于混沌的移相键控数字通信系统的非相干解调 .当蔡氏电路用在混沌发生器时 ,仿真结果证实了提出的方法在跟踪和解调方面的能力 .
A novel tracker is proposed for reconstructing the transmitted chaotic signal. This tracker uses a modified radial basis function (RBF) neural network which incorporates a learning algorithm for tracking the noisy chaotic signal under parameter variation. Using this tracker, a non coherent detector is designed for demodulating chaos shift keying (CSK) signals in a CSK digital communication system. Computer simulations, in which the Chuas circuit is used as the chaos generator, are presented to demonstrate the tracking ability and CSK demodulation of the proposed method.
出处
《西南师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2002年第5期667-672,共6页
Journal of Southwest China Normal University(Natural Science Edition)
基金
重庆市应用基础研究资助项目