Title :
Blind equalization in presence of bounded errors
Author :
Icart, S. ; LeRoux, J. ; Pronzato, L. ; Thierry, E. ; Zhigljavsky, A.A.
Author_Institution :
CNRS, Sophia Antipolis, France
Abstract :
This article presents a new approach to blind equalization of an FIR channel. It is based on a bounded-error assumption and takes into account the fact that the input signal is in a finite alphabet. We show that even in the noisy case, identifiability can be guaranteed in finite time, provided that the support of the noise density is suitably bounded
Keywords :
equalisers; error analysis; identification; noise; telecommunication channels; transient response; FIR channel; blind equalization; bounded errors; finite alphabet; input signal; noise density; Blind equalizers; Channel capacity; Convergence; Data communication; Digital communication; Equations; Finite impulse response filter; Statistics; Upper bound;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604782
