NDLI: Unscented Kalman filter with fading wireless channel

Content Provider	IEEE Xplore Digital Library
Author	Li Li Hongbo Li Hongjiu Yang Zhixin Liu
Copyright Year	2013
Description	Author affiliation: Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao, China (Li Li; Hongjiu Yang; Zhixin Liu) \|\| Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Hongbo Li)
Abstract	This paper considers the error behavior of the discrete-time unscented Kalman filter connected to the general nonlinear system via a wireless sensor. The measurements are transmitted through a noisy fading wireless channel where both transmission failure and signal fluctuation are considered. Sufficient conditions of statistical convergence property for the estimation error covariance is established. It is shown that the expected error covariance with respect to fading process is bounded and converges to a steady state value if the system satisfies some assumptions. Numerical example is given to illustrate the effectiveness of the developed techniques.
Starting Page	6588
Ending Page	6593
File Size	207490
Page Count	6
File Format	PDF
ISBN	9789881563835
ISSN	19341768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Fading Wireless communication Wireless sensor networks stochastic stability fading channel unscented Kalman filtering Stability analysis Kalman filters Nonlinear stochastic systems Covariance matrices Nonlinear systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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