Decision feedback equalization using an Euclidean direction based adaptive algorithm

Tanawat Mathurasai, Tarnal Bose, Delores M. Etter

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

9 Scopus citations

Abstract

Adaptive filtering algorithms are presented that are based on the Euclidean direction search (EDS) method of optimization. The EDS based algorithms have a fast convergence rate and O(N) computational complexity. These algorithms are investigated for decision feedback equalization in a mobile communication channel with additive noise and multipath. The EDS algorithms are shown to perform very well in attenuating noise and intersymbol interference. Performance in terms of bit error rate (BER) and convergence rate are comparable to those of the RLS algorithm, but at a lower computational cost.

Original languageEnglish (US)
Title of host publicationConference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers
EditorsMichael B. Matthews
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages519-523
Number of pages5
ISBN (Electronic)0780357000, 9780780357006
DOIs
StatePublished - 1999
Event33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999 - Pacific Grove, United States
Duration: Oct 24 1999Oct 27 1999

Publication series

NameConference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers
Volume1

Conference

Conference33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999
Country/TerritoryUnited States
CityPacific Grove
Period10/24/9910/27/99

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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