• DocumentCode
    443513
  • Title

    Space-time equalisation assisted minimum bit-error ratio multiuser detection for SDMA systems

  • Author

    Chen, S. ; Yang, X.C. ; Hanzo, L.

  • Author_Institution
    Sch. of ECS, Southampton Univ., UK
  • Volume
    2
  • fYear
    2005
  • fDate
    30 May-1 June 2005
  • Firstpage
    1220
  • Abstract
    This contribution investigates a space-time equalisation assisted multiuser detection scheme designed for multiple receiver antenna aided space division multiple access (SDMA) systems. A novel minimum bit error ratio (MBER) design is invoked for the multiuser detector (MUD), which is shown to be capable of improving the attainable performance and enhancing system capacity in comparison to that of the standard minimum mean square error (MMSE) design. The adaptive MUD coefficient adjustment procedure of the MBER space-time MUD is implemented using a stochastic gradient based least bit error rate (LBER) algorithm, which consistently outperforms the classic least mean square (LMS) algorithm, while maintaining a lower computational complexity than the latter.
  • Keywords
    antenna arrays; equalisers; error statistics; gradient methods; least mean squares methods; multiuser detection; receiving antennas; space division multiple access; BER; SDMA systems; bit-error ratio multiuser detection; least bit error rate algorithm; least mean square algorithm; minimum bit error ratio; minimum mean square error; receiver antenna; space division multiple access; space-time equalisation; stochastic gradient method; Bit error rate; Computational complexity; Detectors; Least squares approximation; Mean square error methods; Multiaccess communication; Multiuser detection; Receiving antennas; Stochastic processes; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st
  • ISSN
    1550-2252
  • Print_ISBN
    0-7803-8887-9
  • Type

    conf

  • DOI
    10.1109/VETECS.2005.1543502
  • Filename
    1543502