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    Power efficient state estimation using multiple sensors


    Leong, Alex S. and Dey, Subhrakanti and Evans, Jamie S. (2008) Power efficient state estimation using multiple sensors. In: 2008 International Symposium on Information Theory and Its Applications. IEEE. ISBN 9781424420681

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    Abstract

    This paper considers state estimation of scalar linear systems using analog amplify and forwarding with multiple sensors, under a multiple access communication scheme. Optimal state estimation can be achieved using a Kalman filter. We show that in many situations, the error covariance decays at a rate of 1/M when the number of sensors M is large. Optimal allocation of transmission powers subject to constraints on the error covariance or sum power is also considered.

    Item Type: Book Section
    Additional Information: Cite as: A. S. Leong, S. Dey and J. S. Evans, "Power efficient state estimation using multiple sensors," 2008 International Symposium on Information Theory and Its Applications, 2008, pp. 1-6, doi: 10.1109/ISITA.2008.4895539.
    Keywords: Power; efficient; state; estimation; multiple sensors;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14471
    Identification Number: https://doi.org/10.1109/ISITA.2008.4895539
    Depositing User: Subhrakanti Dey
    Date Deposited: 28 May 2021 13:56
    Publisher: IEEE
    Refereed: Yes
    URI:

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