• DocumentCode
    2627281
  • Title

    Maximum likelihood detection in spatial multiplexing with FBMC

  • Author

    Zakaria, R. ; Le Ruyet, D. ; Bellanger, M.

  • Author_Institution
    CNAM, Paris, France
  • fYear
    2010
  • fDate
    12-15 April 2010
  • Firstpage
    1038
  • Lastpage
    1041
  • Abstract
    In FBMC transmission systems, the bit rate is maximized when OQAM modulation is employed. One of the characteristics of this modulation is that the received data symbols are accompanied by interference terms, which complicates the application of ML techniques in optimal decoders. Two approaches are proposed to cope with this situation. The first one exploits the MMSE estimation of the interference terms and it introduces no additional delay. In the second one, the interference terms are calculated from past, present and future data symbols, either already decided or estimated. The gains provided by these approaches, with respect to MMSE, are assessed and illustrated by simulation.
  • Keywords
    least mean squares methods; maximum likelihood detection; quadrature amplitude modulation; space division multiplexing; FBMC; MMSE estimation; OQAM modulation; filter bank multicarrier transmission systems; maximum likelihood detection; minimum mean square error; offset quadrature amplitude modulation; spatial multiplexing; Bit rate; Delay estimation; Filter bank; Interference; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; OFDM; Prototypes; FBMC; Filter bank; ML; MMSE; Multicarrier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Conference (EW), 2010 European
  • Conference_Location
    Lucca
  • Print_ISBN
    978-1-4244-5999-5
  • Type

    conf

  • DOI
    10.1109/EW.2010.5483520
  • Filename
    5483520