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A Globally Optimal Distributed Estimation Fusion Algorithm for Dynamical Systems withIntermittent Communications and Correlated Sensor Noises
Luo Yingting 1,Zhu Yunmin 2 *
1.College of Mathematics,Sichuan University,ChengDu 610064
2.College of Mathematics, Sichuan University, ChengDu 610064
*Correspondence author
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Funding: SRFDP（No.20080610001）
Opened online:20 January 2012
Accepted by: none
Citation: Luo Yingting,Zhu Yunmin.A Globally Optimal Distributed Estimation Fusion Algorithm for Dynamical Systems withIntermittent Communications and Correlated Sensor Noises[OL]. [20 January 2012] http://en.paper.edu.cn/en_releasepaper/content/4459095
 
 
Due to power and bandwidth limitationin wireless sensor network, thesensor communications to a fusion center are often intermittent. In this article, we point out that the distributed estimation fusion algorithm can be used in the discrete time linear dynamic system even if the sensor noises are cross-correlated.Compared with existing distributed fusion algorithms, the biggest advantage of this distributed fusion algorithm can be globally optimal no matter how long is the intermittent communicationperiod provided that the intermittent communications are synchronous.
Keywords:signal and information process; estimation fusion; distributed fusion; packet loss; intermittent communications
 
 
 

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