• DocumentCode
    1547919
  • Title

    Distribution of the Ratio of the Largest Eigenvalue to the Trace of Complex Wishart Matrices

  • Author

    Kortun, Ayse ; Sellathurai, Mathini ; Ratnarajah, Tharm ; Caijun Zhong

  • Author_Institution
    ECIT, Queen´s Univ. Belfast, Belfast, UK
  • Volume
    60
  • Issue
    10
  • fYear
    2012
  • Firstpage
    5527
  • Lastpage
    5532
  • Abstract
    This correspondence investigates the statistical properties of the ratio T = λ1i=1mλi , where are λ1 ≥ λ2 ≥ ··· ≥ λm the m eigenvalues of an m × m complex central Wishart matrix W with n degrees of freedom. We derive new exact analytical expressions for the probability density function (PDF) and cumulative distribution function (CDF) of T for complex central Wishart matrices with arbitrary dimensions. We also formulate simplified statistics of T for the special case of dual uncorrelated and dual correlated complex central Wishart matrices (m = 2) . The investigated ratio T is the most important ratio in blind spectrum sensing, since it represents a sufficient statistics for the generalized likelihood ratio test (GLRT). Thus, the derived analytical results are used to find the exact decision threshold for the desired probability of false alarm for Blind-GLRT (B-GLRT) detector. It is shown that the exact decision threshold based B-GLRT detector gives superior performance over the asymptotic decision threshold schemes proposed in the literature, which leads to efficient spectrum usage in cognitive radio.
  • Keywords
    cognitive radio; eigenvalues and eigenfunctions; matrix algebra; maximum likelihood estimation; probability; statistical analysis; CDF; PDF; blind spectrum sensing; blind-GLRT detector; cognitive radio; cumulative distribution function; decision threshold based B-GLRT detector; degree of freedom; dual uncorrelated complex central Wishart matrices; eigenvalue; false alarm probability; generalized likelihood ratio test; probability density function; statistical properties; Closed-form solutions; Covariance matrix; Educational institutions; Eigenvalues and eigenfunctions; Noise; Sensors; Uncertainty; Complex central Wishart matrices; eigenvalue distribution; eigenvalue-based detection; spectrum sensing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2012.2205922
  • Filename
    6225450