%0 Journal Article
%T Application of adaptive Kalman filter based on contextual information to integrated GPS/IMU navigation<br>基于环境信息的自适应卡尔曼滤波器在GPS/IMU组合导航中的应用*
%A WU Jian-hong
%A ZHANG Hong-cai
%A <br>毋建宏
%A 张洪才
%J 计算机应用研究
%D 2009
%I 
%X This paper presented an adaptive data fusion method which used a fuzzy logic controller based on contextual information to on-line adjust the federated Kalman filter, and focused on its application to the integrated GPS/IMU navigation. Used the fuzzy logic controller to compute the information distribution coefficients according to the contextual information which came from the innovation sequences of each subsystem and optimally adjusted the Kalman filter. Then enhanced the accuracy of integrated navigation system. Simulation results show that both the precision and fault tolerance of data fusion are improved.
%K contextual information
%K federated Kalman filtering
%K fuzzy logic control
%K integrated navigation
%K data fusion<br>环境信息
%K 联合卡尔曼滤波
%K 模糊逻辑控制
%K 组合导航
%K 数据融合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DF13F8F3B9A2298517ECBFB52086043C&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=11E6EADE165F1B0D&eid=ED8864047F603F82&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7