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A SIMPLE TREATMENT FOR SUBOPTIMAL KALMAN FILTERING IN CASE OF MEASUREMENT DATA MISSING
被引:20
作者
:
CHEN, GR
论文数:
0
引用数:
0
h-index:
0
机构:
Dep't of Electrical and Computer Engineering, Rice University, Houston
CHEN, GR
机构
:
[1]
Dep't of Electrical and Computer Engineering, Rice University, Houston
来源
:
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
|
1990年
/ 26卷
/ 02期
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
←
1
→
共 2 条
[1]
[Anonymous], TIME SERIES ANAL IRR
[2]
Chui C. K., 1987, KALMAN FILTERING REA
←
1
→