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 to reconstruct the transmitted chaotic signal based on a modified Radial Basis Function Neural Network (RBF) with a learning algorithm for tracking noisy chaotic signals with varying parameters. The tracker is used for the non-coherent demodulation of the chaotic phase shift keying digital communication system.When the Chua’s circuit is used in the chaos generator, the simulation results confirm the capability of the proposed method in tracking and demodulation.