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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940399