• DocumentCode
    2984916
  • Title

    A Reduced-Complexity Sub-Maximum-Likelihood Detection Method for MIMO Systems

  • Author

    Whitworth, T. ; McLernon, D.C. ; Ghogho, M.

  • Author_Institution
    Sch. of Electron. & Electr. Eng., Leeds Univ.
  • fYear
    2006
  • fDate
    Aug. 2006
  • Firstpage
    638
  • Lastpage
    641
  • Abstract
    For a MIMO system we propose a method which takes the MMSE equalized output (followed by a hard decision) and tests it to determine whether ML detection should be carried out. This technique gives significantly reduced average complexity, at the cost of sub-ML performance
  • Keywords
    MIMO communication; computational complexity; maximum likelihood detection; MIMO systems; MMSE; reduced average complexity; reduced-complexity sub-maximum-likelihood detection method; Benchmark testing; Bit error rate; Computational complexity; Decision feedback equalizers; Electronic equipment testing; High definition video; Information technology; MIMO; Signal processing; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2006 IEEE International Symposium on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9753-3
  • Electronic_ISBN
    0-7803-9754-1
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2006.270878
  • Filename
    4042320
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2984916