• DocumentCode
    3501042
  • Title

    A Least Mean Square Based Algorithm to Determine Transmit and Receive Weights for Eigenbeam MIMO Systems

  • Author

    Tominaga, Takayuki ; Muta, Osamu ; Akaiwa, Yoshihiko

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka
  • fYear
    2008
  • fDate
    11-14 May 2008
  • Firstpage
    782
  • Lastpage
    786
  • Abstract
    MIMO system is a technology to realize high data rates and high capacity. Among various MIMO systems, Eigenbeam MIMO (E-MIMO) system achieves the theoretical maximum capacity. The E-MIMO system uses eigenvectors of channel autocorrelation matrix as transmit and receive weights. As a method to find these eigenvectors, eigenvalue decomposition or singular value decomposition (SVD) are generally well-known. In this paper, we propose a least mean square (LMS) based algorithm to find the transmit and receive weights without significant increase of computational complexity for E-MIMO system. Computer simulation shows that the proposed algorithm gives almost the same performance as that of SVD.
  • Keywords
    MIMO systems; channel capacity; computational complexity; eigenvalues and eigenfunctions; least mean squares methods; singular value decomposition; channel autocorrelation matrix; computational complexity; eigenbeam MIMO system; eigenvalue decomposition; eigenvector; least mean square algorithm; singular value decomposition; transmit-receive weight determination; Autocorrelation; Computer simulation; Eigenvalues and eigenfunctions; Least squares approximation; MIMO; Matrix decomposition; Signal processing algorithms; Singular value decomposition; Space technology; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
  • Conference_Location
    Singapore
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-1644-8
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2008.171
  • Filename
    4525727