• DocumentCode
    1198242
  • Title

    A low-complexity enhancement to suboptimal CDMA receivers

  • Author

    Lau, Alan Pak Tao ; Lim, Teng Joon

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada
  • Volume
    3
  • Issue
    6
  • fYear
    2004
  • Firstpage
    1924
  • Lastpage
    1927
  • Abstract
    Conventional matched-filter detectors for code-division multiple-access (CDMA) systems suffer from multiple-access interference (MAI) caused by nonzero correlation between spreading codes at the receiver. A host of advanced detector structures have been proposed to reduce the effect of MAI and, hence, improve performance. However, most multiuser detectors suffer from their relatively complex implementations. A simple method is proposed to improve the performance of the conventional detector by detecting and correcting decision errors at its output without the use of forward error correcting (FEC) codes. The proposed post-detection error control method is shown to substantially improve the performance of the conventional detector, but has a much lower complexity than most other multiuser detectors.
  • Keywords
    code division multiple access; computational complexity; correlation methods; error statistics; matched filters; multiuser detection; radio receivers; radiofrequency interference; code-division multiple-access system; conventional matched-filter detector; correcting decision error; forward error correcting code; multiple-access interference; multiuser detector; nonzero correlation; post-detection error control method; spreading code; suboptimal CDMA receiver; Bit error rate; Covariance matrix; Detectors; Error correction; Error correction codes; Matched filters; Multiaccess communication; Multiple access interference; Multiuser detection; Testing;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2004.837630
  • Filename
    1374894