Cyclostationarity-based detector for OFDM signals with correlated pilot subcarriers

Thomas Bourgeois, Yukitoshi Sanada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    In this paper we propose a cyclostationarity-based detector for cognitive radio applications which is able to identify OFDM signals using correlated pilot subcarriers. Cyclostationary properties of such signals are uniquely determined by the frequency location of the pilots, thus enabling precise signal identification. The detection algorithm proposed makes full use of the cyclostationary specificities of the target signal and is robust to frequency-selective channel fading. Detailed setup of the detector is explained for the case of IEEE 802.11a signals and computer simulation results are presented to confirm the performances of the proposed detector.

    Original languageEnglish
    Title of host publication2011 the 14th International Symposium on Wireless Personal Multimedia Communications
    Subtitle of host publicationCommunications, Networking and Applications for the Internet of Things, WPMC'11
    Publication statusPublished - 2011 Dec 21
    Event2011 14th International Symposium on Wireless Personal Multimedia Communications: Communications, Networking and Applications for the Internet of Things, WPMC'11 - Brest, France
    Duration: 2011 Oct 32011 Oct 7

    Publication series

    Name2011 the 14th International Symposium on Wireless Personal Multimedia Communications: Communications, Networking and Applications for the Internet of Things, WPMC'11

    Other

    Other2011 14th International Symposium on Wireless Personal Multimedia Communications: Communications, Networking and Applications for the Internet of Things, WPMC'11
    Country/TerritoryFrance
    CityBrest
    Period11/10/311/10/7

    Keywords

    • Cyclostationarity
    • IEEE 802.11a
    • OFDM
    • cognitive radio
    • correlated pilot subcarriers
    • signal detection

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Human-Computer Interaction

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