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

Jiu Chao Feng, Chi Kong Tse

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)


A 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.
Original languageEnglish
Title of host publication2004 International Conference on Communications, Circuits and Systems
Number of pages4
Publication statusPublished - 1 Dec 2004
Event2004 International Conference on Communications, Circuits and Systems - Chengdu, China
Duration: 27 Jun 200429 Jun 2004


Conference2004 International Conference on Communications, Circuits and Systems


  • Chaos
  • Non-coherent detection
  • Tracking

ASJC Scopus subject areas

  • Engineering(all)

Cite this