• DocumentCode
    423281
  • Title

    A robust channel estimator for DS-CDMA systems under multipath fading channels

  • Author

    Chengtao Cao ; Lihua Xie ; Shoulie Xie ; Huanshui Zhang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    4
  • fYear
    2004
  • fDate
    29 Nov.-3 Dec. 2004
  • Firstpage
    2525
  • Abstract
    The paper addresses the problem of channel estimation for DS-CDMA systems undergoing time-varying multipath fading channels. The multipath fading channels are modeled as AR models. Based on the minimum mean square error (MMSE) criterion, the linear optimal estimator is obtained by a spectral factorization and a Diophantine polynomial matrix equation. The uncertainty of the channel model is taken into consideration to improve the robustness of the estimator. Compared with the Kalman estimator, the proposed algorithm has O(K2) computational complexity, where K is the number of users. The simulation results show that the proposed estimator provides good estimation performance and robustness for fast fading channels.
  • Keywords
    autoregressive processes; cellular radio; channel estimation; code division multiple access; computational complexity; fading channels; least mean squares methods; multipath channels; polynomial matrices; spread spectrum communication; time-varying channels; AR models; DS-CDMA systems; Diophantine equation; Diophantine polynomial matrix equation; Kalman estimator; MMSE criterion; cellular mobile communication; computational complexity; fast fading channels; minimum mean square error criterion; multipath channels; multipath fading channels; robust channel estimator; time-varying channels; Channel estimation; Equations; Fading; Kalman filters; Mean square error methods; Multiaccess communication; Polynomials; Robustness; Time varying systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
  • Print_ISBN
    0-7803-8794-5
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2004.1378461
  • Filename
    1378461