Blind maximum likelihood sequence estimation ofdigital sequences inpresence of intersymbol interference

R.E. Kamel, Yeheskel Bar-Ness · Electronics Letters · 1994

A blind maximum likelihood (ML) sequence estimator for unknown linear dispersive channels is described. The estimator assumes a channel model with quantised parameters. A channel trellis and a data trellis are defined to search for the ML channel and data estimates using the Viterbi algorithm (VA). This approach provides a good performance/complexity tradeoff.

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