• DocumentCode
    2817490
  • Title

    Matrix decompositions for precoding and equalization of MIMO channel with ISI

  • Author

    Dvorakova, Ivana O. ; Makovy, Vladimir A. ; Malyutin, Alexandr A. ; Nechaev, Yuriy B.

  • Author_Institution
    Voronezh State Univ., Voronezh, Russia
  • fYear
    2012
  • fDate
    3-4 July 2012
  • Firstpage
    132
  • Lastpage
    135
  • Abstract
    This paper sets out a modification of algorithms for calculation QR and SVD decomposition of polynomial matrix into matrix with elements in the form of rational functions, which is equivalent to the use of IIR, instead of FIR filters in the suitable procedures of processing and generation of the signal. The proposed approach can reduce calculating cost of decomposition procedure and further signal processing, primarily by reducing the degree of polynomials, which form the elements of the resultant matrix, which is equivalent to the reduction of memory interval of virtual subchannels. This method is based on the polynomial version of QR algorithm and the procedure of Bauer factorization.
  • Keywords
    MIMO communication; matrix decomposition; polynomial matrices; precoding; Bauer factorization; ISI; MIMO channel; QR decomposition; SVD decomposition; equalization; matrix decompositions; polynomial matrix; precoding; resultant matrix; Finite element methods; Finite impulse response filter; MIMO; Matrix decomposition; Polynomials; Signal processing algorithms; Equalization; MIMO; paraunitary matrix; polynomial matrix; polynomial matrix QR decomposition; singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications and Signal Processing (TSP), 2012 35th International Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4673-1117-5
  • Type

    conf

  • DOI
    10.1109/TSP.2012.6256267
  • Filename
    6256267