• DocumentCode
    1828594
  • Title

    Distributed multiuser detection

  • Author

    Blum, Rick S. ; Hu, Jun

  • Author_Institution
    Dept. of Electron. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    24-27 Oct. 1999
  • Firstpage
    1567
  • Abstract
    Multiuser detection is extended to distributed scenarios. Each cooperating receiver makes preliminary decisions on the received bits of multiple users based on its own observations. Then the preliminary decisions are combined at the fusion center to produce the final decision. Optimum schemes, consisting of a fusion rule and the corresponding receiver decision rules, are found for various criteria. Three suboptimum schemes with reasonable complexity are also investigated. These are: the single-user matched filter, the decorrelating detector and the MMSE detector. For Gaussian noise and conditionally independent observation cases, the performance of the optimum and suboptimum distributed and centralized schemes are compared.
  • Keywords
    code division multiple access; computational complexity; decorrelation; distributed processing; filtering theory; least mean squares methods; matched filters; multiuser channels; optimisation; sensor fusion; signal detection; CDMA; Gaussian noise; MMSE detector; additive noise; computational complexity; conditionally independent observation; decorrelating detector; distributed multiuser detection; distributed receiver system; fusion rule; multiple access interference; optimum centralized scheme; optimum distributed scheme; optimum schemes; performance; receiver decision rules; single-user matched filter; suboptimum centralized scheme; suboptimum distributed scheme; Computational complexity; Decision making; Decorrelation; Detectors; Gaussian noise; Hydrogen; Matched filters; Multiuser detection; Spread spectrum communication; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5700-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.1999.832012
  • Filename
    832012