Title :
Optimal information fusion Kalman filtering for WSNs with multiplicative noise
Author :
Xiao Lu ; Xi Wang ; Haixia Wang
Author_Institution :
Key Lab. for Robot & Intell. Technol. of Shandong Province, Shandong Univ. of Sci. & Technol., Qingdao, China
fDate :
June 30 2012-July 2 2012
Abstract :
The optimal information fusion Kalman filter for wireless sensor network systems is studied. There are two subsystems, and the corresponding measurements are from two different wireless channels, where the system is corrupted by multiplicative noises. Based on the probability method and the scalar weighting optimal information fusion criterion in the minimum variance sense, the information fusion Kalman filter for wireless sensor networks with packet loss and multiplicative noises is given.
Keywords :
Kalman filters; probability; sensor fusion; wireless channels; wireless sensor networks; WSN; minimum variance sense; multiplicative noise; optimal information fusion Kalman filtering; packet loss; probability method; scalar weighting optimal information fusion criterion; wireless channels; wireless sensor network systems; Covariance matrix; Educational institutions; Estimation; Kalman filters; Noise; Noise measurement; Wireless sensor networks; Information Fusion; Kalman filtering; Multiplicative noises; Wireless sensor networks;
Conference_Titel :
System Science and Engineering (ICSSE), 2012 International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-1-4673-0944-8
Electronic_ISBN :
978-1-4673-0943-1
DOI :
10.1109/ICSSE.2012.6257167
