• DocumentCode
    2001899
  • Title

    A novel low-complexity algorithm for linear MMSE MIMO receivers

  • Author

    Kuhling, David ; Ibing, Andreas

  • Author_Institution
    Heinrich-Hertz-Inst., Fraunhofer Inst. for Telecommun., Berlin
  • fYear
    2008
  • fDate
    7-9 May 2008
  • Firstpage
    401
  • Lastpage
    405
  • Abstract
    Computation of MIMO equalization matrices is a critical and computationally intensive part of todaypsilas and future MIMO-OFDM receivers. We present a novel algorithm for computation of the MMSE MIMO equalizer matrix which, compared with the state of art, reduces the number of multiplications by 10% while also featuring innermost loops of a fixed length, allowing for unrolling and easy implementation in custom hardware or on vector processors.
  • Keywords
    MIMO communication; equalisers; least mean squares methods; matrix algebra; receivers; MIMO equalization matrices; custom hardware; linear MMSE MIMO receivers; low-complexity algorithm; vector processors; Art; Attenuation; Equalizers; Frequency; Hardware; MIMO; Mercury (metals); Receiving antennas; Telecommunication computing; Vector processors; Greville; MIMO; MMSE;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Pervasive Computing, 2008. ISWPC 2008. 3rd International Symposium on
  • Conference_Location
    Santorini
  • Print_ISBN
    978-1-4244-1652-3
  • Electronic_ISBN
    978-1-4244-1653-0
  • Type

    conf

  • DOI
    10.1109/ISWPC.2008.4556238
  • Filename
    4556238