• DocumentCode
    2930972
  • Title

    Approximate minimum bit-error rate multiuser detection

  • Author

    Yeh, Chen-Chu ; Lopes, Renato R. ; Barry, John R.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    6
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    3590
  • Abstract
    The minimum mean-squared-error (MMSE) linear multiuser detector is popular because of its good performance and amenability to adaptive implementation. However, there are circumstances in which the linear detector that minimizes the bit-error rate (BER) can significantly outperform the MMSE detector. We propose a low-complexity adaptive algorithm for approximating the minimum BER linear multiuser detector
  • Keywords
    adaptive signal detection; approximation theory; error statistics; MMSE linear multiuser detector; adaptive implementation; approximate minimum bit-error rate; low-complexity adaptive algorithm; minimum BER linear multiuser detector; minimum mean-squared-error; multiuser detection; performance; Adaptive algorithm; Bit error rate; Detectors; Error analysis; Gaussian noise; Linear approximation; Memoryless systems; Multiuser detection; Noise level; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
  • Conference_Location
    Sydney,NSW
  • Print_ISBN
    0-7803-4984-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1998.775969
  • Filename
    775969