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    Multi-sensor diversity in decentralized estimation

    Leong, Alex S. and Dey, Subhrakanti (2010) Multi-sensor diversity in decentralized estimation. In: 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP). IEEE. ISBN 9781424462858

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    This paper derives asymptotic expressions for the expected distortion in the decentralized estimation of a Gaussian source using multiple sensors, as the number of sensors becomes large. 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 fowarding technique. For comparison, asymptotic expressions for a coherent multi-access scheme and an orthogonal access scheme are also derived.

    Item Type: Book Section
    Additional Information: Cite as: A. S. Leong and S. Dey, "Multi-sensor diversity in decentralized estimation," 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP), 2010, pp. 1-5, doi: 10.1109/ISCCSP.2010.5463460.
    Keywords: multi-senor; diversity; decentralized; estimation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14479
    Identification Number:
    Depositing User: Subhrakanti Dey
    Date Deposited: 31 May 2021 15:09
    Publisher: IEEE
    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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