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

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

doi:10.1109/CDC.2001.914581

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 journal › Article › peer-review

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 language	English
Pages (from-to)	4320-4323
Number of pages	4
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	5
DOIs	https://doi.org/10.1109/CDC.2001.914581
Publication status	Published - 2000
Externally published	Yes

ASJC Scopus subject areas

Control and Systems Engineering
Modelling and Simulation
Control and Optimization

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10.1109/CDC.2001.914581

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

Abstract

ASJC Scopus subject areas

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