%0 Journal Article
%T Optimal multi-sensor Kalman smoothing fusion for discrete multichannel ARMA signals<br>
%A Shuli SUN
%A <br>
%J 控制理论与应用
%D 2005
%I 
%X Based on the multi-sensor optimal information fusion criterion weighted by matrice s in the linear minimum variance sense,using whi te noise estimators,an optimal fusion distributed Ka lman smoother is given for discrete multi-channel AR MA (autoregressive moving average) signals.The smoothing error cross-covariance matrices between any two sen sors are given for measurement noises.Furthermore,th e fusion smoother gives higher precision than any local smoother does.
%K Information fusion
%K Distributed sm oother
%K Multichannel ARMA signal
%K Cross-covarianceOpti m fo<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=00405AB925DAD7DDDAFBBAA55D5A3D1A&yid=2DD7160C83D0ACED&vid=38B194292C032A66&iid=0B39A22176CE99FB&sid=BBF7D98F9BEDEC74&eid=9D453329DCCABB94&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=0