On Kalman Smoothing for Wireless Sensor Networks Systems with Multiplicative Noises
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-31
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The paper deals with Kalman (or H2) smoothing problem for wireless sensor networks (WSNs) with multiplicative noises.
Packet loss occurs in the observation equations, and multiplicative noises occur both in the system state equation and the observation equations.
The Kalman smoothers which include Kalman fixed-interval smoother, Kalman fixedlag smoother, and Kalman fixed-point smoother are given by solving Riccati equations and Lyapunov equations based on the projection theorem and innovation analysis.
An example is also presented to ensure the efficiency of the approach.
Furthermore, the proposed three Kalman smoothers are compared.
American Psychological Association (APA)
Lu, Xiao& Wang, Haixia& Wang, Xi. 2012. On Kalman Smoothing for Wireless Sensor Networks Systems with Multiplicative Noises. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-993593
Modern Language Association (MLA)
Lu, Xiao…[et al.]. On Kalman Smoothing for Wireless Sensor Networks Systems with Multiplicative Noises. Journal of Applied Mathematics No. 2012 (2012), pp.1-19.
https://search.emarefa.net/detail/BIM-993593
American Medical Association (AMA)
Lu, Xiao& Wang, Haixia& Wang, Xi. On Kalman Smoothing for Wireless Sensor Networks Systems with Multiplicative Noises. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-993593
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993593