Parallel adaptive decision feedback equalizers

K. J. Raghunath, Keshab K Parhi

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

Abstract

Achieving high speed in decision feedback equalizers (DFEs) is difficult because of the nonlinear decision directed adaptation. Recently, parallel DFE and extended LMS DFE algorithms were proposed for parallel implementation of DFEs. A new double-row DFE algorithm which outperforms the previous approaches is presented. Under the no error propagation assumption, this algorithm performs exactly like a serial DFE. The above three algorithms degrade drastically at high speeds and are more computationally expensive. Three additional novel parallel implementations of the DFE which lead to considerable hardware savings and avoid the coding loss of the former approaches are proposed. These new algorithms are referred to as the direct parallel, double-row DFE without weight correction, and improved block techniques. The first two algorithms give performance that is only slightly degraded as compared to the earlier methods. The improved block technique provides the best performance at higher speed.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages353-356
Number of pages4
ISBN (Electronic)0780305329
DOIs
StatePublished - Jan 1 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
CountryUnited States
CitySan Francisco
Period3/23/923/26/92

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