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It
is well known that Intersymbol (ISI) Interference is a limiting factor in many
communication environments where it causes an irreducible degradation of the
bit error rate (BER) thus imposing an upper limit on the data symbol rate. In
order to overcome the ISI problem, an equalizer is implemented in those
systems. Among the three types of equalizers - non-blind, semi-blind and blind
– the blind equalizer has the benefit of bandwidth saving and there is no need
of going through a training phase. Blind equalization algorithms are
essentially adaptive filtering algorithms designed such that they do not
require the external supply of a desired response to generate the error signal
in the output of the adaptive equalization filter. The algorithms generate an
estimate of the desired response by applying a nonlinear transformation to
sequences involved in the adaptation process. This nonlinearity is designed to
minimize a cost function that is implicitly based on higher order statistics
(HOS) according to one approach, or calculated directly according to the Bayes
rules.
The
complete review is available on:
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