DocumentCode
1203192
Title
Networked Data Fusion With Packet Losses and Variable Delays
Author
Xia, Yuanqing ; Shang, Jizong ; Chen, Jie ; Liu, Guo-Ping
Author_Institution
Dept. of Autom. Control, Beijing Inst. of Technol., Beijing
Volume
39
Issue
5
fYear
2009
Firstpage
1107
Lastpage
1120
Abstract
A novel networked multisensor data-fusion method is developed in this paper. A federated filter is employed to fuse the data transmitted over the network, which plays an important role in the data-processing center. The stability of filters under the network is considered; an algorithm to deal with the delayed data is introduced, and the principle for data fusion is presented. Finally, two numerical examples show the effectiveness of the proposed scheme.
Keywords
Kalman filters; filtering theory; sensor fusion; Kalman filtering; data-processing center; federated filter; networked multisensor data-fusion method; packet losses; variable delays; Federated filter (FF); Kalman filtering; network delays; packet losses; Algorithms; Automatic Data Processing; Computer Communication Networks; Computer Simulation; Information Storage and Retrieval; Models, Statistical; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
1083-4419
Type
jour
DOI
10.1109/TSMCB.2009.2012437
Filename
4804698
Link To Document