• DocumentCode
    3316207
  • Title

    Networked state estimation over a Gilbert-Elliot type channel

  • Author

    Almström, Peter ; Rabi, Maben ; Johansson, Mikael

  • Author_Institution
    WSP Group, Stockholm, Sweden
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    2711
  • Lastpage
    2716
  • Abstract
    We characterize the stability and achievable performance of networked estimation under correlated packet losses described by the Gilbert-Elliot model. For scalar continuous-time linear systems, we derive closed-form expressions for the mean-square distortion of the optimal estimator. The conditions for stable mean square estimation error are equivalent to those obtained previously for stability of `peak distortions´. We study how the estimator performance depends on loss probability and loss burst length, and show that the mean-square distortion remains bounded if the average burst length does not exceed a calculated bound. The main new finding is that, once we fix the mean length of loss bursts, the average packet loss rate influences the estimator´s performance but not its stability.
  • Keywords
    continuous time systems; linear systems; mean square error methods; stability; state estimation; Gilbert-Elliot type channel; average burst length; average packet loss rate; mean square estimation error; mean-square distortion; networked state estimation; optimal estimator; scalar continuous-time linear systems; Automatic control; Automation; Closed-form solution; Linear systems; Loss measurement; Performance loss; Propagation losses; Stability; State estimation; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400803
  • Filename
    5400803