• DocumentCode
    1081038
  • Title

    Iterative Multiuser Minimum Symbol Error Rate Beamforming Aided QAM Receiver

  • Author

    Tan, Shuang ; Chen, Sheng ; Hanzo, Lajos

  • Author_Institution
    Univ. of Southampton, Southampton
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    A novel iterative soft interference cancellation (SIC) aided beamforming receiver is developed for high-throughput quadrature amplitude modulation systems. The proposed SIC-based minimum symbol error rate (MSER) multiuser detection scheme guarantees the direct and explicit minimization of the symbol error rate at the output of the detector. Adopting the extrinsic information transfer (EXIT) chart technique, we compare the EXIT characteristics of an iterative MSER multiuser detector (MUD) with those of the conventional minimum mean-squared error (MMSE) detector. As expected, the proposed SIC-MSER MUD outperforms the SIC-MMSE MUD.
  • Keywords
    array signal processing; interference suppression; iterative methods; least mean squares methods; multiuser detection; quadrature amplitude modulation; radio receivers; EXIT characteristics; SIC-based minimum symbol error rate multiuser detection; beamforming aided QAM receiver; extrinsic information transfer chart technique; iterative MSER multiuser detector; iterative multiuser minimum symbol error rate; iterative soft interference cancellation; minimum mean-squared error detector; quadrature amplitude modulation systems; Array signal processing; Bit error rate; Detectors; Error analysis; Interference cancellation; Linear antenna arrays; Multiuser detection; Quadrature amplitude modulation; Signal processing; Silicon carbide; Beamforming; iterative multiuser detection; minimum symbol error rate; quadrature amplitude modulation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.917792
  • Filename
    4456723