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

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'On achieving reduced error propagation sensitivity in DFE design via convex optimization'. Together they form a unique fingerprint.

  • Cite this