Identification and tracking of chaotic signals with application to non-coherent detection for chaos-based communications

2004 International Conference on Communications, Circuits and Systems, Chengdu, 27-29 June 2004A tracker is proposed for reconstructing the transmitted chaotic signal under the practical condition of the transmitted signal being contaminated by noise and its generating function being subject to strong parameter variation. This tracker uses a modified radial-basis-function (RBF) neural network which in corporates 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.Department of Electronic and Information Engineerin