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

UKF滤波器性能分析及其在轨道计算中的仿真试验
引用本文:蔡志武,赵东明.UKF滤波器性能分析及其在轨道计算中的仿真试验[J].武汉大学学报(信息科学版),2006,31(2):180-183.
作者姓名:蔡志武  赵东明
作者单位:信息工程大学测绘学院,郑州市陇海中路66号,450052
摘    要:讨论了UT(unscented transform)变换的性质,给出了一种新的扩展型卡尔曼滤波器UKF(unscented Kalman filter),它不仅具有较高的精度,而且不必计算偏导数阵。仿真分析的结果表明,UKF有良好的状态估计性能,使用简便,适合于非线性系统状态估计。

关 键 词:卡尔曼滤波  扩展变换  扩展卡尔曼滤波
文章编号:1671-8860(2006)02-0180-04
修稿时间:2005年12月8日

Unscented Kalman Filter for Non-linear Estimation
CAI Zhiwu,ZHAO Dongming.Unscented Kalman Filter for Non-linear Estimation[J].Geomatics and Information Science of Wuhan University,2006,31(2):180-183.
Authors:CAI Zhiwu  ZHAO Dongming
Abstract:The extended Kalman filter is one of the most widely used methods for tracking and estimation of non-linear systems through linearizing non-linear models.In recent several decades people have realized that there are a lot of constraints in application of the EKF for its hard implementation and intractability.In this paper a new estimation method is proposed,which takes advantage of the Unscented Transformation method thus approximating the true mean and variance more accurately.The new method can be applied to non-linear systems without the linearization process necessary for the EKF,and it does not demand a Gaussian distribution of noise and what's more,its ease of implementation and more accurate estimation features enables it to demonstrate its good performance in numerical experiments of satellite orbit simulation.
Keywords:Kalman filter  unscented transformation  unscented Kalman filter
本文献已被 CNKI 维普 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