• DocumentCode
    2958891
  • Title

    A subspace approach for blind multiuser detection based on second-order nonstationarity

  • Author

    Zhang, Ruifeng ; Tsatsanis, Michail K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    Oct. 29 2000-Nov. 1 2000
  • Firstpage
    1153
  • Abstract
    This paper presents a novel technique for blindly starting up an MMSE receiver for a user newly entering a CDMA system. It is assumed that only one user at a time is admitted into the system and that data before and after the onset of the new transmission are available. In general, the two corresponding autocorrelation matrices (before and after the new user is admitted) differ by a low-rank matrix contributed by the autocorrelation of the new user signal. This fact yields a useful property, that the generalized eigenvectors corresponding to the minimum eigenvalue span the noise subspace of the low-rank signal term. Exploiting this subspace relation, the signature of the new user can be identified and thus an MMSE receiver for it can be constructed.
  • Keywords
    code division multiple access; correlation methods; eigenvalues and eigenfunctions; least mean squares methods; matrix decomposition; multipath channels; multiuser channels; noise; radio receivers; signal detection; CDMA system; autocorrelation matrices; blind multiuser detection; generalized eigen-decomposition; generalized eigenvectors; linear MMSE receiver; low-rank matrix; low-rank signal; minimum eigenvalue; multipath effects; new user signature; noise subspace; second-order nonstationarity; subspace approach; Autocorrelation; Computer errors; Constraint optimization; Dispersion; Ear; Eigenvalues and eigenfunctions; Floors; Multiaccess communication; Multiuser detection; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-6514-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2000.910695
  • Filename
    910695