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    Decision Fusion over Noncoherent Fading Multiaccess Channels


    Li, Feng, Evans, Jamie S. and Dey, Subhrakanti (2011) Decision Fusion over Noncoherent Fading Multiaccess Channels. IEEE Transactions on Signal Processing, 59 (9). pp. 4367-4380. ISSN 1053-587X

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    Abstract

    In this paper, we consider a distributed detection scenario where a number of remote sensors is linked to a decision fusion center by a fading multiaccess channel. The communication is assumed to be noncoherent meaning that channel gains are unknown at both sensors and the fusion center. Each sensor makes a binary local decision and communicates it to the fusion center simultaneously. We investigate the detection performance of the system in terms of error probability and error exponent under both Rayleigh and Rician fading scenarios. We reveal that on-off keying is the most energy efficient modulation scheme when the channel is subject to Rayleigh fading and that optimizing the modulation scheme can lead to a gain in error exponent under Rician fading scenario. Under both fading scenarios, optimal decision fusion rules can be reduced to simple threshold tests.
    Item Type: Article
    Additional Information: Cite as: F. Li, J. S. Evans and S. Dey, "Decision Fusion Over Noncoherent Fading Multiaccess Channels," in IEEE Transactions on Signal Processing, vol. 59, no. 9, pp. 4367-4380, Sept. 2011, doi: 10.1109/TSP.2011.2157501.
    Keywords: Distributed detection; fading channels; multiaccess communication; multisensor systems; signal processing for communications;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14345
    Identification Number: 10.1109/TSP.2011.2157501
    Depositing User: Subhrakanti Dey
    Date Deposited: 15 Apr 2021 15:35
    Journal or Publication Title: IEEE Transactions on Signal Processing
    Publisher: Institute of Electrical and Electronics Engineers
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/14345
    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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