• Login
    View Item 
    •   eScholar Home
    • Faculty of Engineering & Applied Science
    • Master Theses & Projects
    • View Item
    •   eScholar Home
    • Faculty of Engineering & Applied Science
    • Master Theses & Projects
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Spectrum sensing based on capon power spectral density estimation

    Thumbnail
    View/Open
    Mohammed_Ola_Ashour.pdf (4.144Mb)
    Date
    2015-04-01
    Author
    Mohammed, Ola Ashour
    Metadata
    Show full item record
    Abstract
    Cognitive radio (CR) technology has evolved to solve the spectrum scarcity problem and improve spectrum utilization. Spectrum sensing is a CR function that allows secondary users to efficiently utilize the spectrum without interfering with primary users. The performance of this function depends on the efficiency of the used detection method. In this thesis, we propose a spectrum sensing based on the Capon Power Spectral Density (PSD) estimation method. The proposed method estimates the received PSD, and uses it to identify free and busy channels. A cooperative spectrum sensing approach is also introduced. The goal is to solve the common hidden node problem and help devices without CR capability to identify free channels. Experimental results show that the proposed method outperforms the spectrum sensing based on the Periodogram method in detecting both busy and free channels. In addition, simulation results show that the cooperative approach improves the spectrum sensing function.
    URI
    https://hdl.handle.net/10155/529
    Collections
    • Electronic Theses and Dissertations [1369]
    • Master Theses & Projects [427]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of eScholarCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV