%0 Journal Article
%T A Filtering Strategy for Noisy and Distorted Chaotic Signals--Ⅰ: Blind Channel Equalization<br>一种噪声和畸变混沌信号的滤波策略--Ⅰ：盲信道均衡
%A YANG Bo
%A FENG Jiu-Chao
%A <br>杨波
%A 冯久超
%J 计算机科学
%D 2006
%I 
%X Various interference from wireless communication channel seriously impairs the real realization of the sys- tems having been proposed chaos-based communication systems.This paper addresses a new filtering algorithm by com- bining nonlinear filtering and neuron processing unit,which can solve the estimation issues of the state space model.Af- ter transferring the blind channel equalization of chaos-based communication systems going through fading communica- tion scenario into the extended state space model,we realize the blind channel equalization of the communication sys- tems by using the new algorithm.In comparison with the standard least mean square (LMS) algorithm,the new algo- rithm is of the faster convergence speed and the better equalization performance.
%K Chaos
%K Communication
%K Filtering
%K Fading channel
%K Channel equalization
%K Autoregressive model<br>混沌
%K 通信
%K 滤波
%K 衰落信道
%K 信道均衡
%K 自回归模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=5D86755974B829C4&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=9CF7A0430CBB2DFD&sid=1D0FA33DA02ABACD&eid=8BD23BD67BF01A5C&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=6