A SIMPLE TREATMENT FOR SUBOPTIMAL KALMAN FILTERING IN CASE OF MEASUREMENT DATA MISSING

被引:20
作者
CHEN, GR
机构
[1] Dep't of Electrical and Computer Engineering, Rice University, Houston
关键词
D O I
10.1109/7.53450
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A very simple yet efficient treatment is suggested as a suboptimal Kaiman filtering algorithm for the standard filtering process under the irregular environment where some measurement data information is missing. Convergence analysis for the proposed algorithm is given. © 1990 IEEE
引用
收藏
页码:413 / 415
页数:3
相关论文
共 2 条
[1]  
[Anonymous], TIME SERIES ANAL IRR
[2]  
Chui C. K., 1987, KALMAN FILTERING REA