• DocumentCode
    1529211
  • Title

    Array processing techniques for multiuser detection

  • Author

    Schodorf, Jeffrey B. ; Williams, Douglas B.

  • Author_Institution
    Lincoln Lab., MIT, Lexington, MA, USA
  • Volume
    45
  • Issue
    11
  • fYear
    1997
  • fDate
    11/1/1997 12:00:00 AM
  • Firstpage
    1375
  • Lastpage
    1378
  • Abstract
    Techniques often used in the area of adaptive array signal processing are applied to the multiuser detection problem. The results of this effort include a robust detector, suitable for use in the presence of modeling errors, and a reduced-rank detector with improved transient behavior relative to full-rank detectors. Algorithm performance is presented in the form of bit-error-rate (BER) curves and least mean square (LMS)-like learning curves
  • Keywords
    adaptive signal detection; adaptive signal processing; array signal processing; code division multiple access; coding errors; direction-of-arrival estimation; error statistics; least mean squares methods; phase shift keying; pseudonoise codes; spread spectrum communication; transient analysis; BER curves; BPSK; DS-CDMA; LMS-like learning curves; adaptive array signal processing; algorithm performance; bit error rate; blind adaptive technique; constrained optimization detector; direct-sequence code division multiple access; full-rank detectors; least mean square; modeling errors; multiuser detection; reduced-rank detector; robust detector; transient behavior; AWGN; Adaptive arrays; Adaptive signal processing; Array signal processing; Constraint optimization; Detectors; Interference constraints; Multiuser detection; Robustness; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.649748
  • Filename
    649748