• DocumentCode
    1036219
  • Title

    A Blind Adaptive MMSE Multiuser Detector over Multipath CDMA Channels and its Analysis

  • Author

    Liu, Xin ; Teh, Kah Chan ; Gunawan, Erry

  • Author_Institution
    Nanyang Technol. Univ., Singapore
  • Volume
    7
  • Issue
    1
  • fYear
    2008
  • Firstpage
    90
  • Lastpage
    97
  • Abstract
    Based on the refinement-only fast subspace tracking (RO-FST) algorithm to adaptively estimate the signal sub-space, a blind adaptive SVD-based minimum-mean-square-error (MMSE) multiuser detector is proposed in this paper for asynchronous direct-sequence code-division-multiple-access (DS-CDMA) systems over multipath fading channels. Numerical results show that the proposed detector gives low computational complexity and good performance in terms of signal-to-interference-plus-noise ratio (SINR) and bit-error-rate (BER). In addition, we apply the perturbation analysis of the proposed adaptive detector to derive the closed-form expressions for the mean-square error (MSE) and SINR. The analytical results are shown to match well with the simulation results.
  • Keywords
    code division multiple access; error statistics; fading channels; least mean squares methods; multipath channels; multiuser detection; singular value decomposition; asynchronous direct-sequence code-division-multiple-access system; bit-error-rate; blind adaptive SVD-based minimum-mean-square-error multiuser detector; computational complexity; multipath CDMA channel; multipath fading channel; perturbation analysis; refinement-only fast subspace tracking algorithm; signal-to-interference-plus-noise ratio; Adaptive signal detection; Analytical models; Bit error rate; Closed-form solution; Computational complexity; Computational modeling; Detectors; Fading; Multiaccess communication; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2008.05354
  • Filename
    4432250