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On Kalman filtering over fading wireless channels with controlled transmission powers
School of Electrical Engineering & Computer Science, The University of Newcastle, Newcastle, Australien.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC, Australien.
Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC, Australien.
2012 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 48, no 7, 1306-1316 p.Article in journal (Refereed) Published
Abstract [en]

We study stochastic stability of centralized Kalman filtering for linear time-varying systems equipped with wireless sensors. Transmission is over fading channels where variable channel gains are counteracted by power control to alleviate the effects of packet drops. We establish sufficient conditions for the expected value of the Kalman filter covariance matrix to be exponentially bounded in norm. The conditions obtained are then used to formulate stabilizing power control policies which minimize the total sensor power budget. In deriving the optimal power control laws, both statistical channel information and full channel information are considered. The effect of system instability on the power budget is also investigated for both these cases.

Place, publisher, year, edition, pages
2012. Vol. 48, no 7, 1306-1316 p.
Keyword [en]
State estimation, Fading channels, Packet dropouts, Stochastic stability, Power control
National Category
Signal Processing
Research subject
Electrical Engineering with specialization in Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-179928DOI: 10.1016/j.automatica.2012.03.025ISI: 000306615800010OAI: oai:DiVA.org:uu-179928DiVA: diva2:547163
Projects
Wisenet
Available from: 2012-08-27 Created: 2012-08-27 Last updated: 2017-12-07Bibliographically approved

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Ahlén, AndersDey, Subhrakanti

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