• DocumentCode
    2540241
  • Title

    Downlink MIMO Signal Detection Algorithm in TD-LTE System

  • Author

    Li, Xiaolin ; Liu, Wenwen

  • Author_Institution
    Chongqing Key Lab. of Mobile Commun., ChongQing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2012
  • fDate
    12-14 Oct. 2012
  • Firstpage
    649
  • Lastpage
    652
  • Abstract
    MIMO (Multiple input multiple output) technology is a key technology in the LTE system. The quality of signal detection directly affects the performance of the system. This paper introduced several traditional detection algorithms-ML (Maximum Likelihood) algorithm, MMSE (Minimum mean square error) algorithm, the optimal ordering SIC (serial interference cancellation) algorithm, the QR decomposition algorithm and the iterative cycle QR decomposition algorithm. The simulation shows that, ML algorithm has the best performance, but it is a great amount of computation. Secondly, the iterative cycle QR decomposition algorithm has a better performance.
  • Keywords
    Long Term Evolution; MIMO communication; interference suppression; iterative methods; least mean squares methods; matrix decomposition; maximum likelihood detection; MMSE algorithm; QR decomposition algorithm; TD-LTE system; downlink MIMO signal detection algorithm; iterative cycle QR decomposition algorithm; maximum likelihood detection algorithm; minimum mean square error algorithm; multiple input multiple output technology; optimal ordering SIC algorithm; serial interference cancellation algorithm; MIMO; QR decomposition algorithm; TD-LTE system; iterative cycle QR decomposition algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-4469-2
  • Type

    conf

  • DOI
    10.1109/BCGIN.2012.174
  • Filename
    6382616