DISTRIBUTED KALMAN FILTERING

被引：0
|
作者：
Das, Subhro [1 ]
Moura, Jose M. F. [1 ]
机构：
[1] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA
来源：
2013 PROCEEDINGS OF THE 21ST EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2013年
关键词：
Distributed Kalman filter; asymptotic convergence; mean-squared error; CONVERGENCE; CONSENSUS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proves the asymptotic convergence of the mean-squared error (MSE) of a distributed Kalman filter that we have previously proposed. This result shows that our distributed Kalman filter can track with bounded MSE any arbitrary linear dynamics.
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页数：5
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