Modeling and optimization of spectrum sensing for unknown signals based on Bartlett's power spectrum estimator

E Gismalla, E Alsusa

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    In this paper a new and accurate performance analysis of the Bartlett method-based spectrum sensor is presented for the application of cognitive radios. To do this, first the attributes of the quadratic form representation of Bartlett power spectrum estimator are studied, and then a closed form for the cumulative distribution function (CDF) is derived and exploited to obtain the probabilities of false alarm and detection. We also investigate the case of joint detection of multiple frequencies where we apply the Neyman-Pearson approach to obtain an optimized detector for both cases of single and multiple frequency sensing. The accuracy of the presented mathematical analysis is verified by Monte-Carlo simulations.
    Original languageEnglish
    Title of host publicationhost publication
    PublisherIEEE
    Pages787-791
    Number of pages5
    Publication statusPublished - Apr 2012
    EventIEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris, France
    Duration: 1 Apr 20124 Apr 2012

    Conference

    ConferenceIEEE Wireless Communications and Networking Conference, WCNC 2012
    CityParis, France
    Period1/04/124/04/12

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