WMF full-order Kalman smoother for multisensor Descriptor systems with correlated noises

被引:0
作者
Ran, Chenjian [1 ]
Dou, Yinfeng [1 ]
Gao, Yuan [1 ]
机构
[1] Heilongjiang Univ, Dept Automat, Harbin 150080, Heilongjiang, Peoples R China
来源
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
关键词
multisensor descriptor systems; correlated noises; weighted measurement fusion; full-order Kalman smoother; FUSER;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the multisensor descriptor systems with correlated noises, the WMF full-order Kalman smoother is presented. First, the centralized fusion descriptor system is obtained. Then this centralized fusion descriptor system is transformed to the descriptor system with uncorrelated noises. Second, the weighted measurement fusion (WMF) descriptor system is presented. Finally, the WMF full-order Kalman and smoother and its smoothering error variance are presented, based on the maximum likelihood (ML) estimation and extended state method. A simulation example of a 3-sensor descriptor systems with common distribute noises verifies its effectiveness and the accuracy relation of the presented WMF full-order Kalman smoother.
引用
收藏
页码:5207 / 5211
页数:5
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