%0 Journal Article
%T A IMPROVED TRACKING KALMAN FILTER USING MULTILAYER NEURAL NETWORK<br>多层神经网络在跟踪式卡尔曼滤波器中的应用
%A Han Minghua
%A Yuan Naichang
%A <br>韩明华
%A 袁乃昌
%J 电子与信息学报
%D 1998
%I 
%X This paper presents a method to improve the estimation accuracy of a tracking Kalman filter (TKF)by using a multilayer neural network(MNN). The estimation accuracy of the TKF is degraded due to the uncertainties that cannot be expressed by the linear state-space model proposed in the literature. This fault is overcome due to the use of MNN. The results of the TKF can be modified by the treated MNN. Simulation results show that the estimation accuracy is much improved by using the MNN.
%K Target tracking
%K Kalman filter
%K Multilayedr neural network<br>目标跟踪
%K 卡尔曼滤波
%K 多层神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=D684C36576BA37F13C2593552DDEE538&yid=8CAA3A429E3EA654&vid=A04140E723CB732E&iid=B31275AF3241DB2D&sid=547991B346A6585E&eid=195767709E606C85&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=5