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

Jiu Chao Feng; Chi Kong Tse

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

Jiu Chao Feng, Chi Kong Tse

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

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 language	English
Title of host publication	2004 International Conference on Communications, Circuits and Systems
Pages	851-854
Number of pages	4
Volume	2
Publication status	Published - 1 Dec 2004
Event	2004 International Conference on Communications, Circuits and Systems - Chengdu, China Duration: 27 Jun 2004 → 29 Jun 2004

Conference

Conference	2004 International Conference on Communications, Circuits and Systems
Country/Territory	China
City	Chengdu
Period	27/06/04 → 29/06/04

Keywords

Chaos
Non-coherent detection
Tracking

ASJC Scopus subject areas

General Engineering

Cite this

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

abstract = "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.",

keywords = "Chaos, Non-coherent detection, Tracking",

author = "Feng, {Jiu Chao} and Tse, {Chi Kong}",

year = "2004",

month = dec,

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language = "English",

isbn = "0780386477",

volume = "2",

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note = "2004 International Conference on Communications, Circuits and Systems ; Conference date: 27-06-2004 Through 29-06-2004",

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Identification and tracking of chaotic signals with application to non-coherent detection for chaos-based communications. / Feng, Jiu Chao; Tse, Chi Kong.
2004 International Conference on Communications, Circuits and Systems. Vol. 2 2004. p. 851-854.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Identification and tracking of chaotic signals with application to non-coherent detection for chaos-based communications

AU - Feng, Jiu Chao

AU - Tse, Chi Kong

PY - 2004/12/1

Y1 - 2004/12/1

N2 - 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.

AB - 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.

KW - Chaos

KW - Non-coherent detection

KW - Tracking

UR - http://www.scopus.com/inward/record.url?scp=11244304239&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 0780386477

SN - 9780780386471

VL - 2

SP - 851

EP - 854

BT - 2004 International Conference on Communications, Circuits and Systems

T2 - 2004 International Conference on Communications, Circuits and Systems

Y2 - 27 June 2004 through 29 June 2004

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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