TY - GEN
T1 - Event-triggered multisensor data fusion with correlated noise
AU - Jiang, Lu
AU - Yan, Liping
AU - Xia, Yuanqing
AU - Guo, Qiao
AU - Fu, Mengyin
AU - Xiao, Bo
N1 - Publisher Copyright:
© 2017 International Society of Information Fusion (ISIF).
PY - 2017/8/11
Y1 - 2017/8/11
N2 - As communication bandwidth and resources are limited in network-based control systems, in order to reduce superfluous waste, it is necessary to design an event-triggered communication mechanism. In this paper, the problem of event-triggered state estimation is studied for fusion of multiple sensors with correlated noise. The noise of different sensors are cross-correlated and coupled with the system noise of the previous step and the same time step. An optimal state estimation algorithm based on iterative estimation of white noise estimator is presented, which makes full use of the observation information effectively. A numerical example is used to illustrate the effectiveness of the presented algorithm.
AB - As communication bandwidth and resources are limited in network-based control systems, in order to reduce superfluous waste, it is necessary to design an event-triggered communication mechanism. In this paper, the problem of event-triggered state estimation is studied for fusion of multiple sensors with correlated noise. The noise of different sensors are cross-correlated and coupled with the system noise of the previous step and the same time step. An optimal state estimation algorithm based on iterative estimation of white noise estimator is presented, which makes full use of the observation information effectively. A numerical example is used to illustrate the effectiveness of the presented algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85029423798&partnerID=8YFLogxK
U2 - 10.23919/ICIF.2017.8009693
DO - 10.23919/ICIF.2017.8009693
M3 - Conference contribution
AN - SCOPUS:85029423798
T3 - 20th International Conference on Information Fusion, Fusion 2017 - Proceedings
BT - 20th International Conference on Information Fusion, Fusion 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on Information Fusion, Fusion 2017
Y2 - 10 July 2017 through 13 July 2017
ER -