Finite random matrices for blind spectrum sensing

Giuseppe Thadeu Freitas De Abreu, Wensheng Zhang, Yukitoshi Sanada

    研究成果: Conference contribution

    4 被引用数 (Scopus)

    抄録

    We address the Primary User (PU) detection (spectrum sensing) problem, relevant to cognitive radio, from a finite random matrix theoretical (RMT) perspective. Utilizing recently-derived closed-form and exact expressions for the distribution of the standard condition number (SCN) of dual random Wishart matrices, we design a new blind algorithm to detect the presence of PU signals. An inherent property of the technique, which is due to the reliance on SCN's, is that no SNR estimation or any other information on the PU signal is required. Like some similar asymptotic RMT-based techniques recently proposed, the algorithm also admits for a tolerated probability of false alarm α to be accounted for by design. The proposed finite RMT-based algorithm, however, outperforms all known similar alternatives, in consequence of the fact that the distribution of SCN's utilized are in closed-form and exact, for any given matrix size.

    本文言語English
    ホスト出版物のタイトルConference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
    ページ116-120
    ページ数5
    DOI
    出版ステータスPublished - 2010 12 1
    イベント44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 - Pacific Grove, CA, United States
    継続期間: 2010 11 72010 11 10

    出版物シリーズ

    名前Conference Record - Asilomar Conference on Signals, Systems and Computers
    ISSN(印刷版)1058-6393

    Other

    Other44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
    CountryUnited States
    CityPacific Grove, CA
    Period10/11/710/11/10

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Networks and Communications

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