Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
State Estimation Over Sensor Networks With Correlated Wireless 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
2013 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 58, no 3, 581-593 p.Article in journal (Refereed) Published
Abstract [en]

Stochastic stability for centralized time-varying Kalman filtering over a wireless sensor network with correlated fading channels is studied. On their route to the gateway, sensor packets, possibly aggregated with measurements from several nodes, may be dropped because of fading links. To study this situation, we introduce a network state process, which describes a finite set of configurations of the radio environment. The network state characterizes the channel gain distributions of the links, which are allowed to be correlated between each other. Temporal correlations of channel gains are modeled by allowing the network state process to form a (semi-)Markov chain. We establish sufficient conditions that ensure the Kalman filter to be exponentially bounded. In the one-sensor case, this new stability condition is shown to include previous results obtained in the literature as special cases. The results also hold when using power and bit-rate control policies, where the transmission power and bit-rate of each node are nonlinear mapping of the network state and channel gains.

Place, publisher, year, edition, pages
IEEE Press, 2013. Vol. 58, no 3, 581-593 p.
Keyword [en]
Sensor networks, Kalman filtering, Packet drops, stability.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-111440DOI: 10.1109/TAC.2012.2212515ISI: 000316806400003Scopus ID: 2-s2.0-84874637788OAI: oai:DiVA.org:kth-111440DiVA: diva2:586302
Funder
Vinnova, Dnr2009-02963
Note

QC 20130114

Available from: 2013-01-14 Created: 2013-01-11 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

networked_control_quevedo_tac12(509 kB)541 downloads
File information
File name FULLTEXT01.pdfFile size 509 kBChecksum SHA-512
393556759ec6ea5883a2f58b15b12ce3f3b8d05651a674e6e821c35fa78e8e8a5e598bfa4aefa22de30cb3d622c4fff6d15a5522b4772ae7bd6bdf372e2e197f
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopusIEEEXplore

Authority records BETA

Johansson, Karl Henrik

Search in DiVA

By author/editor
Johansson, Karl Henrik
By organisation
Automatic ControlACCESS Linnaeus Centre
In the same journal
IEEE Transactions on Automatic Control
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 541 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 224 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf