NDLI: Kalman filtering for wireless networks systems with delayed-missing measurements

Content Provider	IEEE Xplore Digital Library
Author	Xiao Lu Baodong Guo
Copyright Year	2009
Description	Author affiliation: Key Laboratory for Robot & Intelligent Technology of Shandong Province, Shandong University of Science and Technology, Qingdao, 266510, China (Xiao Lu; Baodong Guo)
Abstract	The paper is concerned with the Kalman filtering problem for linear discrete-time network systems with delayed-missing measurements. The Kalman filter and the corresponding covariance matrix become stochastic, since the measurements are partial (or part or all of the measurements are lost). The re-organized innovation analysis approach is proposed to deal with such a problem, and the calculation of the filter involves two Riccati equations associated with two normal Kalman filter of a delay-free system. The Riccati equations have the same dimension as the system.
Starting Page	4682
Ending Page	4686
File Size	115488
Page Count	5
File Format	PDF
ISBN	9781424427222
DOI	10.1109/CCDC.2009.5191806
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Discrete-time systems Technological innovation Filtering Delay systems Stochastic processes Nonlinear filters Loss measurement Covariance matrix Network systems Wireless networks Riccati equations Missing measurement Delayed measurements Kalman filtering Kalman filters
Content Type	Text
Resource Type	Article

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