Blind adaptation of decision feedback equalizers: Gross convergence properties

Rodney A. Kennedy*, Brian D.O. Anderson, Robert R. Bitmead

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

An analysis of the stochastic dynamics of the blind adaptation of decision feedback equalizers is presented. The analysis accounts for the presence of decision errors which, under feedback, are propagated. A number of blind algorithms are presented and a theory is developed to explain gross convergence properties observed through simulations. The possibility of and mechanism behind undesirable local minima are highlighted and a detailed case study is given. The potential capture by local minima shows the importance of good initialization. These results superficially resemble those obtained for blind adaptation applied to linear equalizers.

Original languageEnglish
Pages (from-to)497-523
Number of pages27
JournalInternational Journal of Adaptive Control and Signal Processing
Volume7
Issue number6
DOIs
Publication statusPublished - Nov 1993

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