Blind adaptive identification of FIR channel in chaotic communication systems
Wang Bao-Yun (王保云)a, Tommy W.S. Chowb, K.T. Ngb
a Department of Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; b Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China
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.
Received: 06 June 2003
Revised: 24 September 2003
Accepted manuscript online:
PACS:
05.45.Vx
(Communication using chaos)
Fund: Project supported by the National Natural Science Foundation of China (Grant No 69702008) and the grant from City University of Hong Kong.
Cite this article:
Wang Bao-Yun (王保云), Tommy W.S. Chow, K.T. Ng Blind adaptive identification of FIR channel in chaotic communication systems 2004 Chinese Physics 13 329
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