%0 Journal Article
%T Multisensor optimal information fusion white noise deconvolution filter<br>多传感器最优信息融合白噪声反卷积滤波器
%A DENG Zi-li
%A LI Yun
%A WANG Xin
%A <br>邓自立
%A 李云
%A 王欣
%J 控制理论与应用
%D 2006
%I 
%X Using the modern time series analysis method and white noise estimation theory and based on the linear minimum variance optimal information fusion criterion weighted by scalars,a distributed fusion white noise deconvolution filter is presented for multisensor single channel systems with white and colored measurement noises.The proposed filter consists of weighting local white noise deconvolution filters,which can handle the fused filtering,smoothing,and prediction problems in a unified framework.The formula for computing the cross-covariances among local filtering errors is also given,which is applied to compute the optimal weights.Compared with the single sensor case,the accuracy of the fused filter is improved.It can be applied to signal processing in oil seismic exploration.Finally,a simulation example for information fusion Bernoulli-Gaussian white noise deconvolution filter with three-sensor shows its effectiveness.
%K optimal weighted fusion
%K distributed fusion
%K reflection seismology
%K white noise deconvolution estimators
%K Wiener filter<br>最优加权融合
%K 分布式融合
%K 反射地震学
%K 白噪声反卷积估值器
%K Wiener滤波器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=7A027ED3C70EDC64&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=38B194292C032A66&sid=AC2617B68B137D9D&eid=D98387EFB283C5E0&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=7