Blind adaptive identification of FIR channel in chaotic communication systems |
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| Authors: | Wang Bao-Yun Tommy W.S. Chow K.T. Ng |
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| Affiliation: | Department of Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China |
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| 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. |
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| Keywords: | chaotic communication blind identification LMS algorithm extended Kalman filtering |
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