MURAL - Maynooth University Research Archive Library



    Power allocation for error covariance minimization in Kalman filtering over packet dropping links


    Leong, Alex S. and Dey, Subhrakanti (2012) Power allocation for error covariance minimization in Kalman filtering over packet dropping links. In: 2012 IEEE 51st IEEE Conference on Decision and Control (CDC). IEEE, pp. 3335-3340. ISBN 9781467320658

    [img]
    Preview
    Download (267kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    This paper studies the problem of optimal power allocation for Kalman filtering with random packet losses. We consider the problem of minimizing the trace of the expected error covariance subject to an average transmit power constraint. Adopting a model for the packet loss probabilities that depends on both the sensor transmit power and time-varying fading channel gain, the problem is formulated as a constrained Markov decision process (MDP) that is solved numerically with dynamic programming techniques. Simpler suboptimal power allocation policies, namely a constant power allocation scheme and a truncated channel inversion scheme, are also considered and numerical comparisons made with the optimal policy.

    Item Type: Book Section
    Additional Information: Cite as: A. S. Leong and S. Dey, "Power allocation for error covariance minimization in Kalman filtering over packet dropping links," 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012, pp. 3335-3340, doi: 10.1109/CDC.2012.6426539.
    Keywords: Power allocation; error; covariance minimization; Kalman filtering; packet dropping links;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14491
    Identification Number: https://doi.org/10.1109/CDC.2012.6426539
    Depositing User: Subhrakanti Dey
    Date Deposited: 01 Jun 2021 16:15
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year