• DocumentCode
    3570977
  • Title

    Blind noise suppression decorrelating multiuser detector for reverse link in multipath DS-CDMA systems

  • Author

    Xu, Zhiyu ; Cheng, Roger S.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
  • Volume
    2
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    786
  • Abstract
    In the multipath CDMA reverse link, the base station knows the signature waveforms of users within its cell, but has no knowledge of channel coefficients of different users. In this paper, we propose a subspace-based blind noise suppression decorrelating multiuser detector making full use of estimated noise subspace and signature sequences of different users. This subspace blind detection approach has the advantages that it does not need the training sequences and channel coefficients of all users. The proposed blind multiuser detection technique offers substantial performance gain over the conventional Rake receivers with channel coefficients and has better performance when compared with the subspace-based blind detectors with known channel coefficients in Wang et al. (1998), in a multipath CDMA reverse link environment
  • Keywords
    cellular radio; code division multiple access; decorrelation; interference suppression; multipath channels; multiuser channels; spread spectrum communication; DS-CDMA systems; base station; blind noise suppression; cellular radio; decorrelating multiuser detector; estimated noise subspace; multipath systems; performance; reverse link; signature sequences; subspace-based detector; AWGN; Additive white noise; Base stations; Decorrelation; Detectors; Gaussian noise; Multiaccess communication; Multipath channels; Multiuser detection; Performance gain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
  • Print_ISBN
    0-7803-7206-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2001.965526
  • Filename
    965526