Blind equalization without gain identification
Verdu, S.
Anderson, B.D.O.
Kennedy, R.A.
Dept. of Electr. Eng., Princeton Univ., NJ;
This paper appears in: Information Theory, IEEE Transactions on
Publication Date: Jan 1993
Volume: 39,
Issue: 1
On page(s): 292-297
ISSN: 0018-9448
References Cited: 19
CODEN: IETTAW
INSPEC Accession Number: 4384061
Digital Object Identifier: 10.1109/18.179377
Current Version Published: 2002-08-06
Abstract
Blind equalization up to a constant gain of linear time-invariant
channels is studied. Dropping the requirement of gain identification
allows equalizer anchoring. This results in the elimination of a degree
of freedom that causes ill-convergence of conventional blind equalizers,
and affords the possibility of using simple update rules based on the
stochastic approximation of output energy. Unlike conventional blind
equalizers, truncations of the nonrecursive infinite-dimensional
realizations of those equalizers inherit the convergence properties of
their infinitely parametrized counterparts. A globally convergent blind
recursive equalizer for channels without all-pass sections is obtained
based on the exact equalization of the minimum-phase part of the channel
and the identification of its nonminimum-phase zeros
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