%0 Journal Article
%T Multichannel ARMA Signal Information Fusion Wiener Filter<br>多通道ARMA信号信息融合Wiener滤波器
%A Deng ZiLi
%A Gao Yuan
%A <br>邓自立
%A 高媛
%J 电子与信息学报
%D 2005
%I 
%X Using the Kalman filtering method, based on white noise estimation theory, under the linear minimum variance information fusion criterion, two-sensor information fusion steady-state optimal Wiener filter, smoother and predictor are presented for the multichannel Auto-Regressive Moving Average(ARMA) signals, where the optimal weighting matrices and minimum fused error variance matrix are given. Compared with the single sensor case, the accuracy of the filter is improved. A simulation example of a radar tracking system shows its effectiveness.
%K Multichannel AMAR signal
%K Two-sensor
%K Optimal information fusion
%K Wiener filter
%K Kalman filtering<br>多通道ARMA信号
%K 两传感器
%K 最优信息融合
%K Wiener滤波器
%K Kalman滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=4D8F061845632572&yid=2DD7160C83D0ACED&vid=DB817633AA4F79B9&iid=9CF7A0430CBB2DFD&sid=B240D359488D2362&eid=8EA44A8F6C7F424F&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=2&reference_num=4