• DocumentCode
    2803271
  • Title

    New constrained blind adaptive receivers for DS-CDMA systems based on group constraints

  • Author

    Vinhoza, Tiago T V ; De Lamare, Rodrigo C. ; Sampaio-Neto, Raimundo

  • Author_Institution
    Univ. of York, Rio de Janeiro
  • fYear
    2006
  • fDate
    3-6 Sept. 2006
  • Firstpage
    518
  • Lastpage
    523
  • Abstract
    In this work we develop a new framework for blind receivers based on the minimum variance (MV) and constant modulus (CM) criteria using a new set of constraints based on the knowledge of the spreading sequences of some users in the system. A family of blind stochastic gradient and recursive least- squares type algorithms for parameter estimation on the basis of the group constraints are derived. The performance of the proposed receivers is assessed through computer simulations. The results show that the proposed techniques outperform previously reported blind techniques with small additional computational requirements.
  • Keywords
    blind source separation; code division multiple access; gradient methods; least squares approximations; multiuser detection; radio receivers; stochastic processes; DS-CDMA system; blind multiuser detection; blind stochastic gradient algorithm; constant modulus criteria; constrained blind adaptive receiver; minimum variance criteria; parameter estimation; recursive least-squares type algorithm; Base stations; Brazil Council; Cost function; Detectors; Interference constraints; Interference suppression; Multiaccess communication; Multiuser detection; Parameter estimation; Stochastic processes; DS-CDMA; blind algorithms; constant modulus cost function; interference suppression; minimum variance cost function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Symposium, 2006 International
  • Conference_Location
    Fortaleza, Ceara
  • Print_ISBN
    978-85-89748-04-9
  • Electronic_ISBN
    978-85-89748-04-9
  • Type

    conf

  • DOI
    10.1109/ITS.2006.4433329
  • Filename
    4433329