Adaptive exploitation of cyclostationarity features for detecting modulated signals

Quang Thai*, Sam Reisenfeld

*Corresponding author for this work

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

    2 Citations (Scopus)

    Abstract

    In this paper, a detector is presented that can be trained to recognise the dominant features in the cyclic spectrum of a signal, and hence distinguish between scenarios when the signal is present or absent. A detector that can adapt its operation, without knowing in advance what spectral features to expect, is attractive for applications such as cognitive radio, as equipped terminals can learn about their radio environment whilst operating in the field. The performance of this detector is compared to that of an energy detector via simulation.

    Original languageEnglish
    Title of host publicationProceedings - 2011 International Conference on Advanced Technologies for Communications, ATC 2011
    Place of PublicationPiscataway, N.J.
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages127-130
    Number of pages4
    ISBN (Print)9781457712043
    DOIs
    Publication statusPublished - 2011
    Event4th Annual International Conference on Advanced Technologies for Communications, ATC2011 - Da Nang City, Viet Nam
    Duration: 2 Aug 20114 Aug 2011

    Other

    Other4th Annual International Conference on Advanced Technologies for Communications, ATC2011
    CountryViet Nam
    CityDa Nang City
    Period2/08/114/08/11

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