Blind adaptive identification of FIR channel in chaotic communication systems
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 329-334 |
Journal / Publication | Chinese Physics |
Volume | 13 |
Issue number | 3 |
Publication status | Published - 1 Mar 2004 |
Link(s)
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.
In: Chinese Physics, Vol. 13, No. 3, 01.03.2004, p. 329-334.
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal