• DocumentCode
    2749376
  • Title

    Adaptive algorithm based on pilot-channel for multiuser detection

  • Author

    Wang, Yi ; Xue, Qiang ; Zhou, Sheng ; Wu, Weiling

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., China
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1754
  • Abstract
    A novel adaptive algorithm for MMSE multiuser detection in downlink CDMA is proposed in this paper. This algorithm uses the information in the pilot channel to compute the desired MMSE solution directly. Compared with conventional adaptive algorithms and previously proposed blind algorithms, it does not require training sequences or channel estimation. Analysis shows that the MMSE detector obtained by the algorithm converges to the Wiener solution globally, and the computational complexity is O(N2). Simulation examples illustrate that the algorithm can rapidly reach the steady state. The steady state performance can be enhanced by increasing the transmitted power in the pilot channel, but is worse than that of a conventional recursive least-square (RLS) algorithm in decision-directed mode
  • Keywords
    adaptive signal detection; cellular radio; code division multiple access; computational complexity; least mean squares methods; multiuser channels; spread spectrum communication; MMSE detector; MMSE multiuser detection; Wiener solution; adaptive algorithm; computational complexity; downlink CDMA; multiuser detection; pilot-channel; steady state performance; transmitted power; Adaptive algorithm; Algorithm design and analysis; Channel estimation; Computational complexity; Computational modeling; Detectors; Downlink; Multiaccess communication; Multiuser detection; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.893440
  • Filename
    893440