On achieving reduced error propagation sensitivity in DFE design via convex optimization

Robert L. Kosut, Wonzoo Chung, C. Richard Johnson, Stephen P. Boyd

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

In this study, it is argued that the minimum mean-square-error (MMSE) adaptation mechanism in the presence of error propagation will find a better answer than the solution computed in the absence of decision errors. Error propagation is enhanced by large gains in the decision portion of the decision feedback equalization (DFE) portion. A method to penalize these gains is considered, but not in the unconstrained MSE sense.

Original languageEnglish
Pages (from-to)4320-4323
Number of pages4
JournalProceedings of the IEEE Conference on Decision and Control
Volume5
DOIs
Publication statusPublished - 2000
Externally publishedYes

Fingerprint

Decision Feedback
Error Propagation
Convex optimization
Equalization
Convex Optimization
Feedback
Minimum Mean Square Error
Mean square error

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Cite this

On achieving reduced error propagation sensitivity in DFE design via convex optimization. / Kosut, Robert L.; Chung, Wonzoo; Johnson, C. Richard; Boyd, Stephen P.

In: Proceedings of the IEEE Conference on Decision and Control, Vol. 5, 2000, p. 4320-4323.

Research output: Contribution to journalArticle

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