%0 Journal Article
%T Wiener State Deconvolution Filters<br>Wiener状态去卷滤波器
%A DENG Zi-li
%A SUN Shu-li
%A GUO Jin-zhu
%A <br>邓自立
%A 孙书利
%A 郭金柱
%J 控制理论与应用
%D 2001
%I 
%X Using the modern time series analysis method, based on ARMA innovation model, the Wiener state deconvolution filters are presented for a class of systems with multiple measurement delays and with moving average(MA) coloured measurement noises. They have the asymptotic stability and autoregressive moving average (ARMA) recursive form. They can handle filtering, smoothing and prediction problems in a unified framework, and can be applied to solve the state estimation problem for systems with ARMA coloured measurement noise, and signal Wiener filtering and deconvolution problems. Two simulation examples show their effectiveness.
%K state estimation
%K signal processing
%K deconvolution
%K Wiener filter
%K time
%K domain approach
%K modern time series analysis method<br>状态估计
%K 反卷积
%K 信号处理
%K Wiener滤波器
%K 时域方法
%K 传递函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=F7FD4E04D3EBEDF2&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=E158A972A605785F&sid=37F781FD8E744761&eid=D8AE57480552698F&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=5