• DocumentCode
    1409212
  • Title

    Subspace multiuser detection for multicarrier DS-CDMA

  • Author

    Namgoong, June ; Wong, Tan F. ; Lehnert, James S.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    48
  • Issue
    11
  • fYear
    2000
  • fDate
    11/1/2000 12:00:00 AM
  • Firstpage
    1897
  • Lastpage
    1908
  • Abstract
    A subspace-based linear minimum mean-squared error (MMSE) multiuser detection scheme is proposed for a multicarrier direct-sequence code-division multiple-access (MC-DS-CDMA) system. Typically, a MC-DS-CDMA system employs a band-limited chip waveform. The band-limited nature of the chip waveform causes problem in applying standard subspace techniques because no non noise subspace can be formed. It is shown that channel and timing information needed for the construction of the linear MMSE detector can be identified by a multiple-signal-classification-like algorithm based on a finite-length truncation approximation of the chip waveform. In practice, since perturbed versions of the subspaces assumed in the finite-length truncation approximation are actually observed, and because of the band-limited property of the chip waveform, the accuracy of the channel estimation and, hence, the performance of the MMSE detector are degraded. This effect is investigated in this paper.
  • Keywords
    Rayleigh channels; bandlimited communication; code division multiple access; least mean squares methods; multiuser channels; parameter estimation; signal classification; signal detection; spread spectrum communication; timing; MMSE detector performance; MMSE multiuser detection; Rayleigh fading; band-limited chip waveform; channel estimation; channel information; direct-sequence code-division multiple-access; fading coefficients; finite-length truncation approximation; linear MMSE detector; linear minimum mean-squared error; multicarrier DS-CDMA; multiple-signal-classification-like algorithm; subspace multiuser detection; subspace-based blind algorithm; timing estimation; timing information; Approximation algorithms; Channel estimation; Degradation; Detectors; Frequency domain analysis; Frequency-selective fading channels; Multiaccess communication; Multiple access interference; Multiuser detection; Timing;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.886487
  • Filename
    886487