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
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;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2009.2012437
