• DocumentCode
    337622
  • Title

    Blind channel estimation for multiuser CDMA systems with long spreading codes

  • Author

    Xu, Zhengyuan Daniel ; Tsatsanis, Michail K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2531
  • Abstract
    In this paper, correlation-matching techniques are employed to estimate multipath channel parameters for a multiuser CDMA system with long spreading codes. For a given code sequences, the output correlation matrix (parametrized by the unknown channel coefficients) is compared with its instantaneous approximation. By minimizing the Frobenious norm of the resulting error matrix the channel parameters can be estimated up to a scalar ambiguity. Under the assumption of i.i.d. code sequences, identifiability for each channel is guaranteed and the asymptotic convergence of the proposed algorithm is established. Simulation results confirm our claims. Comparisons with other methods are also provided
  • Keywords
    code division multiple access; codes; convergence of numerical methods; correlation methods; matrix algebra; multiuser channels; parameter estimation; spread spectrum communication; DS-CDMA; Frobenious norm; asymptotic convergence; blind channel estimation; channel coefficients; correlation-matching techniques; error matrix; i.i.d. code sequences; long spreading codes; multipath channel parameters estimation; multiuser CDMA systems; output correlation matrix; scalar ambiguity; simulation results; Blind equalizers; Convergence; Frequency division multiaccess; Multiaccess communication; Multipath channels; Next generation networking; Parameter estimation; Signal processing algorithms; Time division multiple access; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.760646
  • Filename
    760646