MURAL - Maynooth University Research Archive Library



    On diversity schemes in decentralized estimation


    Leong, Alex S. and Dey, Subhrakanti (2010) On diversity schemes in decentralized estimation. In: 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE. ISBN 9781424469901

    [img]
    Preview
    Download (818kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    This paper is concerned with the decentralized estimation of a Gaussian source using multiple sensors. We consider a diversity scheme where only the sensor with the best channel sends their measurements to a fusion center, using the analog amplify and forwarding technique. A distributed version of the diversity scheme where sensors decide what to transmit based only on their local information is also considered. We derive asymptotic expressions for the expected distortion of these schemes as the number of sensors becomes large. We also study the optimal power allocation problem for minimizing the expected distortion subject to average power constraints.

    Item Type: Book Section
    Additional Information: Cite as: A. S. Leong and S. Dey, "On diversity schemes in decentralized estimation," 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2010, pp. 1-5, doi: 10.1109/SPAWC.2010.5671086.
    Keywords: diversity; schemes; decentralized; estimation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14478
    Identification Number: https://doi.org/10.1109/SPAWC.2010.5671086
    Depositing User: Subhrakanti Dey
    Date Deposited: 31 May 2021 15:02
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year