• DocumentCode
    1505128
  • Title

    On the condition number distribution of complex wishart matrices

  • Author

    Matthaiou, Michail ; McKay, Matthew R. ; Smith, Peter J. ; Nossek, Josef A.

  • Author_Institution
    Inst. for Circuit Theor. & Signal Process., Tech. Univ. Munchen (TUM), Munich, Germany
  • Volume
    58
  • Issue
    6
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    1705
  • Lastpage
    1717
  • Abstract
    This paper investigates the distribution of the condition number of complex Wishart matrices. Two closely related measures are considered: the standard condition number (SCN) and the Demmel condition number (DCN), both of which have important applications in the context of multiple-input multiple-output (MIMO) communication systems, as well as in various branches of mathematics. We first present a novel generic framework for the SCN distribution which accounts for both central and non-central Wishart matrices of arbitrary dimension. This result is a simple unified expression which involves only a single scalar integral, and therefore allows for fast and efficient computation. For the case of dual Wishart matrices, we derive new exact polynomial expressions for both the SCN and DCN distributions. We also formulate a new closed-form expression for the tail SCN distribution which applies for correlated central Wishart matrices of arbitrary dimension and demonstrates an interesting connection to the maximum eigenvalue moments of Wishart matrices of smaller dimension. Based on our analytical results, we gain valuable insights into the statistical behavior of the channel conditioning for various MIMO fading scenarios, such as uncorrelated/semi-correlated Rayleigh fading and Ricean fading.
  • Keywords
    MIMO communication; Rayleigh channels; Rician channels; eigenvalues and eigenfunctions; matrix algebra; polynomials; DCN distribution; Demmel condition number; MIMO communication; Rayleigh fading; Ricean fading; SCN distribution; channel conditioning; complex Wishart matrices; condition number distribution; joint eigenvalue distribution; multiple-input multiple-output communication system; polynomial expression; standard condition number; Closed-form solution; Communication standards; Context; Eigenvalues and eigenfunctions; MIMO; Mathematics; Measurement standards; Polynomials; Probability distribution; Rayleigh channels; MIMO systems, complex Wishart matrices, condition number, joint eigenvalue distribution.;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2010.06.090328
  • Filename
    5474635