• DocumentCode
    2011677
  • Title

    On the complexity and performance of strategies for symbol detection in multi-antenna wireless LAN

  • Author

    Penketh, J. ; Collados, M.

  • Author_Institution
    Univ. Coll. London, UK
  • fYear
    2004
  • fDate
    13-15 Oct. 2004
  • Firstpage
    36
  • Lastpage
    41
  • Abstract
    This paper discusses the symbol detection complexity of several orthogonal frequency division multiplexing wireless communication schemes using multiple-input multiple-output channels. We investigate spatial diversity (SD) and spatial multiplexing (SM) architectures. For the SD case we discuss an efficient example of space-time block coding, namely the Alamouti scheme. For the SM case we examine linear filtering, using both the zero-forcing and minimum mean squared error design criteria, and also the nonlinear maximum likelihood detection method. A comparison of the packet error rate performance of the various systems is then provided, followed by a thorough analysis of implementational complexity.
  • Keywords
    MIMO systems; OFDM modulation; block codes; computational complexity; diversity reception; error statistics; least mean squares methods; maximum likelihood detection; nonlinear estimation; packet radio networks; space division multiplexing; space-time codes; wireless LAN; Alamouti scheme; implementational complexity; linear filtering; minimum mean squared error design; multi-antenna wireless LAN; multiple-input multiple-output channels; nonlinear maximum likelihood detection; orthogonal frequency division multiplexing; packet error rate performance; performance; space-time block coding; spatial diversity; spatial multiplexing architectures; symbol detection complexity; symbol detection strategies; wireless communication schemes; zero-forcing design; Computer architecture; Costs; Error analysis; MIMO; Maximum likelihood detection; OFDM; Radio frequency; Samarium; Transceivers; Wireless LAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2004. SIPS 2004. IEEE Workshop on
  • Print_ISBN
    0-7803-8504-7
  • Type

    conf

  • DOI
    10.1109/SIPS.2004.1363021
  • Filename
    1363021