Asymptotic efficiency of the BAD algorithm

J. K. Nelson, A. C. Singer, U. Madhow

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We study the high-SNR performance of the bi-directional arbitrated DFE (BAD) equalization algorithm. Using asymptotic efficiency analysis, we characterize the performance of BAD as the channel noise variance approaches zero. We consider the case in which the channel is perfectly known to the receiver, as well as the case in which the channel estimate is in error. Asymptotic efficiency analysis allows us to quantify the loss in performance due both to inter-symbol interference (ISI) and imperfect channel estimation. The asymptotic efficiency of BAD is compared to that of a matched filter receiver, a maximum likelihood sequence estimator, and a standard DFE. Our results indicate that for the channel model considered, BAD can achieve gains of up to 3 dB over the standard DFE, even when the channel estimate is in error.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)0780379977
StatePublished - 2003
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings


OtherIEEE Workshop on Statistical Signal Processing, SSP 2003
Country/TerritoryUnited States
CitySt. Louis


  • Analysis of variance
  • Bidirectional control
  • Channel estimation
  • Decision feedback equalizers
  • Error analysis
  • Intersymbol interference
  • Matched filters
  • Maximum likelihood estimation
  • Performance analysis
  • Performance loss

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications


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