Generalized data-aided equalizers

Lee Inseop, W. Kenneth Jenkins

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


The generalized data-aided equalizer (GDAE) is a hybrid structure that combines attractive features of the adaptive canceller-equalizer (ACE) and the decision-feedback equalizer (DFE) structures. With limited hardware complexity, generally speaking, the performance of a data-aided equalizer depends on the channel impulse response. Because the structure of an ACE or DFE is fixed, it is not feasible to reconfigure either structure according to the channel response. However, with the GDAE and an appropriate optimization scheme, it is possible to adjust the structure to obtain the best performance. The basic idea of the GDAE is to apply an additional adaptive system to select the best filter structure for a given channel characteristics. This is possible by using a feedback filter bank. This filter bank decouples the decision feedback so that the feedback can eliminate any ISI components.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 49th Midwest Symposium on Circuits and Systems, MWSCAS'06
Number of pages6
StatePublished - Dec 1 2006
Event2006 49th Midwest Symposium on Circuits and Systems, MWSCAS'06 - San Juan, Puerto Rico
Duration: Aug 6 2006Aug 9 2007

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746


Other2006 49th Midwest Symposium on Circuits and Systems, MWSCAS'06
Country/TerritoryPuerto Rico
CitySan Juan

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering


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