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

fYear

2012

fDate

June 30 2012-July 2 2012

Firstpage

152

Lastpage

157

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSSE.2012.6257167

Filename

6257167