首页 | 本学科首页   官方微博 | 高级检索  
     

Optimal Fusion Reduced-Order Kalman Filters Weighted by Scalars for Stochastic Singular Systems
作者姓名:Sun Shuli  Ma Jing
作者单位:Sun Shuli,Ma Jing Department of Automation Heilongjiang University Harbin 150080,China Xiao Wendong Media Processing Department Institute for Infocomm Research Singapore 119613
摘    要:Based on the optimal fusion algorithm weighted by scalars in the linear minimum variance sense, a distributed optimal fusion reduced-order Kalman filter with scalar weights is presented for discrete-time stochastic singular systems with multiple sensors and correlated noises. It has higher accuracy than any local filter does. Compared with the distributed fusion filter weighted by matrices, it has lower accuracy but has reduced computational burden. Computation formula of cross-covariance matrix of the filtering errors between any two sensors is given. An example with three sensors shows the effectiveness.


Optimal Fusion Reduced-Order Kalman Filters Weighted by Scalars for Stochastic Singular Systems
Sun Shuli,Ma Jing.Optimal Fusion Reduced-Order Kalman Filters Weighted by Scalars for Stochastic Singular Systems[J].国际系统与控制(英文版),2007(1).
Authors:Sun Shuli  Ma Jing
Affiliation:Sun Shuli,Ma Jing Department of Automation Heilongjiang University Harbin 150080,China Xiao Wendong Media Processing Department Institute for Infocomm Research Singapore 119613
Abstract:Based on the optimal fusion algorithm weighted by scalars in the linear minimum variance sense, a distributed optimal fusion reduced-order Kalman filter with scalar weights is presented for discrete-time stochastic singular systems with multiple sensors and correlated noises. It has higher accuracy than any local filter does. Compared with the distributed fusion filter weighted by matrices, it has lower accuracy but has reduced computational burden. Computation formula of cross-covariance matrix of the filtering errors between any two sensors is given. An example with three sensors shows the effectiveness.
Keywords:Multisensor  Optimal information fusion  Reduced-order filter  Cross-covariance  Singular 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