• DocumentCode
    762347
  • Title

    Blind adaptive code-constrained constant modulus algorithms for CDMA interference suppression in multipath channels

  • Author

    De Lamare, Rodrigo C. ; Sampaio-Neto, Raimundo

  • Author_Institution
    PUC-RIO, Rio de Janeiro, Brazil
  • Volume
    9
  • Issue
    4
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    334
  • Lastpage
    336
  • Abstract
    A code-constrained constant modulus (CCM) design criterion for linear receivers is investigated for direct sequence code division multiple access (DS-CDMA) in multipath channels based on constrained optimization techniques. A computationally efficient recursive least squares (RLS) type algorithm for jointly estimating the parameters of the channel and the receiver is developed in order to suppress multiaccess (MAI) and inter-symbol interference (ISI). An analysis of the method examines its convergence properties and simulations under nonstationary environments show that the novel algorithms outperform existent techniques.
  • Keywords
    channel estimation; code division multiple access; interference suppression; intersymbol interference; least squares approximations; multipath channels; multiuser detection; optimisation; radio receivers; spread spectrum communication; CCM design; DS-CDMA; ISI; MAI; RLS algorithm; blind adaptive algorithms; channel estimation; code-constrained constant modulus; constrained optimization techniques; direct sequence code division multiple access; inter-symbol interference; interference suppression; linear receivers; multiaccess interference; multipath channel; multiuser detection; recursive least squares; Constraint optimization; Design optimization; Direct-sequence code-division multiple access; Interference constraints; Interference suppression; Least squares approximation; Multiaccess communication; Multipath channels; Parameter estimation; Resonance light scattering;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2005.04022
  • Filename
    1413625