DocumentCode :
3576001
Title :
Kalman filtering for singular WSN systems with multiplicative noise
Author :
Xiao Lu ; Shi Liu ; Sai Luan ; Qiong Pu
Author_Institution :
Key Lab. for Robot & Intell. Technol. of Shandong Province, Shandong Univ. of Sci. & Technol., Qingdao, China
fYear :
2014
Firstpage :
1319
Lastpage :
1323
Abstract :
This paper is to study the linear minimum variance estimation for discrete-time singular WSN systems with multiplicative noises and additive noises. The state and the state disturbed by multiplicative noise are both included in the observation equation. A simple approach of projection theorem is proposed.
Keywords :
Kalman filters; estimation theory; wireless sensor networks; Kalman filtering; additive noise; discrete-time singular WSN systems; linear minimum variance estimation; multiplicative noise; projection theorem; wireless sensor networks; Additive noise; Education; Estimation; Kalman filters; Robots; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
Type :
conf
DOI :
10.1109/ICMC.2014.7231766
Filename :
7231766
Link To Document :
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