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    Outage minimization for state estimation using multiple sensors

    Leong, Alex S. and Dey, Subhrakanti and Nair, Girish N. and Sharma, Priyank (2009) Outage minimization for state estimation using multiple sensors. IFAC Proceedings Volumes, 42 (20). pp. 216-221. ISSN 1474-6670

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    This paper studies the outage minimization problem for state estimation of a scalar linear dynamical system using multiple sensors. The sensors amplify and forward their measurements to a remote fusion center over wireless fading channels. For stable systems, the resulting infinite horizon problem is a constrained Markov decision process (MDP) that can be solved using dynamic programming techniques. A suboptimal power allocation that is less computationally intensive is also proposed, and numerical results demonstrate very close performance to the power allocation obtained from the solution of the MDP. For unstable systems, a finite horizon formulation of the outage minization problem is also presented.

    Item Type: Article
    Additional Information: Cite as: Alex S. Leong, Subhrakanti Dey, Girish N. Nair, Priyank Sharma, Outage Minimization For State Estimation Using Multiple Sensors*, IFAC Proceedings Volumes, Volume 42, Issue 20, 2009, Pages 216-221, ISSN 1474-6670, ISBN 9783902661524,
    Keywords: Outage probability; sensor networks; state estimation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14473
    Identification Number:
    Depositing User: Subhrakanti Dey
    Date Deposited: 28 May 2021 14:08
    Journal or Publication Title: IFAC Proceedings Volumes
    Publisher: Elsevier
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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