• DocumentCode
    1671285
  • Title

    Exact Minimum Eigenvalue Distribution of a Correlated Complex Non-Central Wishart Matrix

  • Author

    Dharmawansa, Prathapasinghe ; McKay, Matthew R.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We derive the exact cumulative distribution function (c.d.f.) of the minimum eigenvalue of a correlated complex non-central Wishart matrix. This result is in the form of a simple infinite series with fast convergence, and applies for the important case where the non-centrality matrix has rank one. Simplified asymptotic expressions for the c.d.f. are given for large matrix dimensions, as well as first-order expansions around the origin. The eigenvalue distributions in this paper have various important applications to multiple-input multiple-output (MIMO) communication systems, as well other scientific areas such as econometrics and multivariate statistics.
  • Keywords
    convergence; eigenvalues and eigenfunctions; higher order statistics; matrix algebra; series (mathematics); statistical distributions; MIMO communication system; asymptotic expression; correlated complex noncentral Wishart matrix; cumulative distribution function; econometrics; infinite series convergence; minimum eigenvalue distribution; multiple-input multiple-output communication system; multivariate statistics; Computer vision; Distributed computing; Distribution functions; Econometrics; Eigenvalues and eigenfunctions; Information technology; MIMO; Performance analysis; Symmetric matrices; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • Conference_Location
    New Orleans, LO
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.212
  • Filename
    4697987