【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 .更多还原

【Abstract】 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 Chuas circuit is used as the chaos generator, are presented to demonstrate the tracking ability and CSK demodulation of the proposed method.更多还原