Fast blind equalization based on a Bayesian decision-feedback equalizer

Sheng Chen; Steve McLaughlin; Peter M Grant; Bernard Mulgrew

doi:10.1049/el:19930595

Fast blind equalization based on a Bayesian decision-feedback equalizer

Sheng Chen, Steve McLaughlin, Peter M Grant, Bernard Mulgrew

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

A blind Bayesian decision feedback equaliser is derived for joint channel and data estimation. The nature or this algorithm leads to an efficient parallel implementation. Convergence can be achieved in less than 50 symbols when a binary symbol constellation is used.

Original language	English
Pages (from-to)	891-893
Number of pages	3
Journal	Electronics Letters
Volume	29
Issue number	10
DOIs	https://doi.org/10.1049/el:19930595
Publication status	Published - 13 May 1993

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title = "Fast blind equalization based on a Bayesian decision-feedback equalizer",

abstract = "A blind Bayesian decision feedback equaliser is derived for joint channel and data estimation. The nature or this algorithm leads to an efficient parallel implementation. Convergence can be achieved in less than 50 symbols when a binary symbol constellation is used.",

author = "Sheng Chen and Steve McLaughlin and Grant, {Peter M} and Bernard Mulgrew",

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Fast blind equalization based on a Bayesian decision-feedback equalizer

Abstract

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