• DocumentCode
    2568150
  • Title

    QRD based tree search data detection for MIMO communication systems

  • Author

    Chin, W.H.

  • Author_Institution
    Dept. of Digital Wireless, Inst. of Infocomm Res., Singapore
  • Volume
    3
  • fYear
    2005
  • fDate
    30 May-1 June 2005
  • Firstpage
    1624
  • Abstract
    Due to the capacity achievable, multiple-input/multiple-output (MIMO) systems has gained popularity in recent years. While several data detection algorithms are available for MIMO systems, simple algorithms usually perform unsatisfactorily, while more complex ones are infeasible for hardware implementation. In this paper, we compare two QRD based tree search algorithms which can be likely candidates for implementation purposes due to their relatively low computational complexity. The QRD-M algorithm proposed in (J Yue, et al, 2003) yields near-M L performance while only requiring a fraction of the computational complexity of an ML receiver. The QRD-stack algorithm displays similar performance. The performance of both QRD-M and QRD-stack algorithms are compared and while both algorithms achieve near-ML performance, the QRD-stack algorithm is shown to be more efficient and has a much lower computational complexity as compared to QRD-M.
  • Keywords
    MIMO systems; computational complexity; data communication; tree searching; MIMO communication systems; ML receiver; QR decomposition-M algorithm; QR decomposition-stack algorithm; computational complexity; data detection algorithms; multiple-input/multiple-output systems; tree search data detection; Computational complexity; Detection algorithms; Displays; Hardware; Interference cancellation; Iterative algorithms; MIMO; Matrix decomposition; Maximum likelihood detection; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st
  • ISSN
    1550-2252
  • Print_ISBN
    0-7803-8887-9
  • Type

    conf

  • DOI
    10.1109/VETECS.2005.1543595
  • Filename
    1543595