首页 | 本学科首页   官方微博 | 高级检索  
     检索      

EKF和UKF在INS/GPS组合导航中的应用分析
引用本文:徐慧娟,吴美平,罗兵.EKF和UKF在INS/GPS组合导航中的应用分析[J].航天控制,2006,24(6):7-10.
作者姓名:徐慧娟  吴美平  罗兵
作者单位:国防科技大学机电工程与自动化学院,长沙,410073
摘    要:扩展卡尔曼滤波(EKF)是在非线性系统中常用的一种滤波方法,Un-scented卡尔曼滤波(UKF)是一种新的非线性滤波算法,其主要特点是与EKF一样传递状态的前两阶矩,但不用计算Jacobian矩阵。将EKF和UKF分别应用到INS/GPS系统的滤波中,仿真结果表明UKF比EKF更适合于在INS/GPS系统中使用。

关 键 词:组合导航  EKF  UKF  INS/GPS
文章编号:1006-3242(2006)06-0007-04
修稿时间:2006年6月28日

Analysis of Extended and Unscented Kalman Filtering for INS/GPS Integration
Xu Huijuan,Wu Meiping,Luo Bing.Analysis of Extended and Unscented Kalman Filtering for INS/GPS Integration[J].Aerospace Control,2006,24(6):7-10.
Authors:Xu Huijuan  Wu Meiping  Luo Bing
Abstract:The extended Kalman filtering(EKF) is the primary mechanism used in nonlinear systems.The unscented Kalman filtering(UKF) is a new nonlinear filtering method,which propagates the first two moments as EKF does,while does not need to calculate the Jacobian matrix.The EKF and UKF are both applied to the INS/GPS integration system in this paper.The simulation results show that the UKF is more appropriate for the INS/GPS system than the EKF.
Keywords:Integrated navigation Extended Kalman filtering Unscented Kalman filtering INS/GPS
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号