DocumentCode
2650308
Title
Kalman fixed-interval and fixed-lag smoothing forwireless sensor systems with multiplicative noises
Author
Xiao Lu ; Haixia Wang ; Mingchao Li
Author_Institution
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
fYear
2012
fDate
23-25 May 2012
Firstpage
3023
Lastpage
3026
Abstract
The paper is dealt with the Kalman (or H2) fixed-interval and fixed-lag smoothing problem for wireless sensor networks (WSN) with multiplicative noises. Packet loss occurs in the observation equations, and multiplicative noises both occur in the system state equation and the observation equations. The Kalman smoothers which include Kalman fixed-interval smoother and Kalman fixed-lag smoother are given by solving Riccati equations based on projection theorem. The Riccati equations have the same dimension as the system.
Keywords
Riccati equations; smoothing methods; wireless sensor networks; Kalman fixed-interval smoother; Kalman fixed-interval smoothing; Kalman fixed-lag smoother; Kalman fixed-lag smoothing; Kalman smoothers; Riccati equations; WSN; multiplicative noises; observation equations; packet loss; projection theorem; system state equation; wireless sensor networks; wireless sensor systems; Equations; Estimation; Kalman filters; Mathematical model; Noise; Smoothing methods; Wireless sensor networks; Discrete-time systems; Kalman smoothing; Packet loss; Wireless network systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6243075
Filename
6243075
Link To Document