• DocumentCode
    1749456
  • Title

    Prefiltered blind equalization: how to fully benefit from spatio-temporal diversity?

  • Author

    de Baynast, A. ; Fijalkow, I.

  • Author_Institution
    ENSEA, Cergy-Pontoise Univ., France
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2069
  • Abstract
    We propose a new structure for blind equalization with spatiotemporal diversity at the receiver (SIMO system). This structure is derived from the Wiener filter. It is composed of a prefilter deduced from the data spectral density (no blind criterion is needed) and a FIR filter, independent of the noise level, to be obtained blindly. The new prefilter is robust to a total lack of effective diversity and benefits from any available diversity. Simulations show that this new blind equalizer performs similarly to the Wiener filter even with a very small amount of data
  • Keywords
    FIR filters; Wiener filters; blind equalisers; diversity reception; radio receivers; random noise; spectral analysis; FIR filter; SIMO system; Wiener filter; data spectral density; noise level; prefiltered blind equalization; rapidly varying wireless channel; receiver spatio-temporal diversity; Blind equalizers; Convergence; Finite impulse response filter; Frequency estimation; Intersymbol interference; Maximum likelihood estimation; Noise level; Nonlinear filters; Statistics; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940399
  • Filename
    940399