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

具有区间隶属函数的模糊卡尔曼滤波在组合导航系统中的应用
引用本文:乐洋,何秀凤.具有区间隶属函数的模糊卡尔曼滤波在组合导航系统中的应用[J].武汉大学学报(信息科学版),2011(4):450-452,456.
作者姓名:乐洋  何秀凤
作者单位:河海大学地球科学与工程学院
基金项目:国家自然科学基金资助项目(40974001)
摘    要:将具有区间值隶属函数的区间参数引入卡尔曼滤波,用区间值的集合来表示隶属函数,为解决具有不确定参数的系统优化问题提供了一种新的思路。最后通过实验验证了方法的有效性。

关 键 词:卡尔曼滤波  区间分析  隶属函数  系统优化  组合导航系统

Research on Integrated Navigation System by Fuzzy Kalman Filter with Interval-value Membership Function
LE Yang,HE Xiufeng.Research on Integrated Navigation System by Fuzzy Kalman Filter with Interval-value Membership Function[J].Geomatics and Information Science of Wuhan University,2011(4):450-452,456.
Authors:LE Yang  HE Xiufeng
Institution:1(1 School of Earth Sciences and Engineering,Hohai University,1 Xikang Road,Nanjing 210098,China)
Abstract:As an important optimal estimation theory,Kalman filter has been used in many fields.There are some truths in a practical system which cause filtering divergence,such as model uncertainties and statistical characteristics of interference signal known incompletely.This paper takes interval parameters that have interval membership function to Kalman filter,and let interval set denote membership function,whick provides a new way to slove system optimization problem with uncertain parameters.The results from the actual GPS/IMU integrated system indicate that the filtering method proposed is effective.
Keywords:Kalman filter  interval analysis  membership function  system optimization  integration navigation system
本文献已被 CNKI 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