%0 Journal Article
%T Robust Blind Adaptive Channel Equalization in Chaotic Communication Systems
%A ZHANG Jia-Shu
%A <br>张家树
%J 中国物理快报
%D 2006
%I 
%X Based on the bounded property and statistics of chaotic signal and the idea of set-membership identification, we propose a set-membership generalized least mean square (SM-GLMS) algorithm with variable step size for blind adaptive channel equalization in chaotic communication systems. The steady state performance of the proposed SM-GLMS algorithm is analysed, and comparison with an extended Kalman filter (EKF)-based adaptive algorithm and variable gain least mean square (VG-LMS) algorithm is performed for blind adaptive channel equalization. Simulations show that the proposed SM-GLMS algorithm can provide more significant steady state performance improvement than the EKF-based adaptive algorithm and VG-LMS algorithm.
%K 05
%K 45
%K -a<br>混沌通信系统
%K 鲁棒性
%K 自适应盲信道均衡
%K 混沌信号
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=E27DA92E19FE279A273627875A70D74D&aid=28A95C86D87AF9F098CA2180CEFDA595&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=59906B3B2830C2C5&sid=8424FD92DE0D1368&eid=E6F9016E859B9026&journal_id=0256-307X&journal_name=中国物理快报&referenced_num=0&reference_num=15