Blind adaptive identification of FIR channel in chaotic communication systems

Research output: Journal Publications and ReviewsRGC 22 - Publication in policy or professional journal

5 Scopus Citations
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Author(s)

  • Wang Bao-Yun
  • Tommy W. S. Chow
  • K. T. Ng

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)329-334
Journal / PublicationChinese Physics
Volume13
Issue number3
Publication statusPublished - 1 Mar 2004

Abstract

In this paper we study the problem of blind channel identification in chaotic communications. An adaptive algorithm is proposed, which exploits the boundness property of chaotic signals. Compared with the EKF-based approach, the proposed algorithm achieves a great complexity gain but at the expense of a slight accuracy degradation. However, our approach enjoys the important advantage that it does not require the a priori information such as nonlinearity of chaotic dynamics and the variances of measurement noise and the coefficient model noise. In addition, our approach is applicable to the ARMA system. © 2004 Chin. Phys. Soc. and IOP Publishing Ltd.

Research Area(s)

  • Blind identification, Chaotic communication, Extended Kalman filtering, LMS algorithm

Citation Format(s)

Blind adaptive identification of FIR channel in chaotic communication systems. / Bao-Yun, Wang; Chow, Tommy W. S.; Ng, K. T.
In: Chinese Physics, Vol. 13, No. 3, 01.03.2004, p. 329-334.

Research output: Journal Publications and ReviewsRGC 22 - Publication in policy or professional journal