• DocumentCode
    1132763
  • Title

    Iterative reduced-state multiuser detection for asynchronous coded CDMA

  • Author

    Qin, Zhiliang ; Teh, Kah Chan ; Gunawan, Erry

  • Volume
    50
  • Issue
    12
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    1892
  • Lastpage
    1894
  • Abstract
    The conventional maximum a posteriori receiver for coded code-division multiple-access (CDMA) systems has exponential computational complexity in terms of the number of users and the memory of the channel code. In this letter, we propose a low-complexity soft-input soft-output (SISO) multiuser detector based on the reduced-state a posteriori probability algorithm. Per-survivor processing and soft interference cancellation are used to remove the residual past and future interference in the branch metric computation. The complexity of the proposed receiver is related to the reduced memory of the CDMA channel and can be adjusted according to the complexity/performance tradeoff. Simulation results show that for asynchronous convolutionally coded systems, the proposed receiver can achieve the near-single-user performance for moderate to high signal-to-noise ratios.
  • Keywords
    code division multiple access; computational complexity; convolutional codes; interference suppression; iterative methods; multiuser detection; probability; radio receivers; radiofrequency interference; AWGN channel; CDMA channel; SISO multiuser detector; SNR; additive white Gaussian noise channel; asynchronous coded CDMA; asynchronous convolutionally coded systems; channel code memory; coded code-division multiple-access; complexity/performance tradeoff; exponential computational complexity; interference; iterative reduced-state multiuser detection; maximum a posteriori receiver; near-single-user performance; per-survivor processing; reduced-state a posteriori probability algorithm; signal-to-noise ratio; simulation results; soft interference cancellation; soft-input soft-output multiuser detector; Computational complexity; Computational modeling; Convolution; Convolutional codes; Detectors; Interference cancellation; Matched filters; Multiaccess communication; Multiuser detection; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2002.806526
  • Filename
    1175464