%0 Journal Article
%T Blind adaptive identification of FIR channel in chaotic communication systems
%A Wang Bao-Yun
%A Tommy WS Chow
%A KT Ng
%A <br>王保云
%A Tommy W.S. Chow
%A K.T. Ng
%J 中国物理 B
%D 2004
%I 
%X 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.
%K chaotic communication
%K blind identification
%K LMS algorithm
%K extended Kalman filtering<br>盲识别
%K 混沌通信
%K LMS运算规则
%K 混沌信号
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=CD8D6A6897B9334F09D8D1648C376FB4&aid=14AC0642BF1574FCB3DDC9B7C2F07EE3&yid=D0E58B75BFD8E51C&vid=FC0714F8D2EB605D&iid=38B194292C032A66&sid=C6EC7357BCACD3A4&eid=9DC563A0FEFC04F9&journal_id=1009-1963&journal_name=中国物理&referenced_num=0&reference_num=20