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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6243075