A high throughput adaptive DFE for HIPERLAN

R Perry, DR Bull, AR Nix

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
245 Downloads (Pure)


This paper describes two methods for increasing the throughput of an adaptive decision feedback equaliser (DFE) using the LMS training algorithm. In the first method, a signed power-of-two number representation is used for the equaliser input data. Using this number representation, all multipliers can be replaced with barrel shifters and adders. In the second method, the delayed least mean square algorithm (DLMS) is used to train the equaliser. A delay, equal to the feedforward filter length, is introduced in the filter coefficient update, which allows the DFE to be realised as the cascade of a series of modular sections.
Translated title of the contributionA high throughput adaptive DFE for Hiperlan
Original languageEnglish
Title of host publicationIEEE international symposium on circuits and systems - Connecting the World
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages301 - 304
ISBN (Print)078030730, 0780330730
Publication statusPublished - May 1996
EventIInternational Symposium on Circuits and Systems, 1996 - Atlanta, Georgia, United States
Duration: 1 May 1996 → …


ConferenceIInternational Symposium on Circuits and Systems, 1996
CountryUnited States
CityAtlanta, Georgia
Period1/05/96 → …

Bibliographical note

Conference Proceedings/Title of Journal: IEEE international symposium on circuits and systems
Other: Ch.201
Rose publication type: Conference contribution

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