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Stability of state estimation over sensor networks with Markovian fading channels
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2011 (English)In: Proceedings of the 18th World Congress: The International Federation of Automatic Control, 2011, 12451-12456 p.Conference paper, Published paper (Refereed)
Abstract [en]

Stochastic stability for centralized Kalman filtering over a wireless sensor networkwith correlated fading channels is studied. On their route to the gateway, sensor packets, possiblyaggregated with measurements from several nodes, may be dropped because of fading links. Byassuming the network states to be Markovian, we establish sufficient conditions that ensure theKalman filter to be exponentially bounded in norm. In the one sensor case, this new stabilitycondition is shown to include previous results obtained in the literature as special cases. Theresults also hold when applying power control, where the transmission power of each node is anonlinear mapping of the network state and the channel gains.

Place, publisher, year, edition, pages
2011. 12451-12456 p.
Keyword [en]
Sensor networks; State estimation; Stochastic stability; Packet dropouts; Gilbert-Elliot model; Fading communication channel.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-89723DOI: 10.3182/20110828-6-IT-1002.02712Scopus ID: 2-s2.0-84866760651OAI: oai:DiVA.org:kth-89723DiVA: diva2:503439
Conference
18th International Federation of Automatic Control (IFAC) World Congress. Milano, Italy. 28 August - 2 September, 2011
Note
QC 20120329Available from: 2012-02-15 Created: 2012-02-15 Last updated: 2012-03-29Bibliographically approved

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Johansson, Karl Henrik

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  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
  • rtf