Decision feedback equalization using an Euclidean Direction based adaptive algorithm

Tanawat Mathurasai, Tamal Bose, Delores M. Etter

Research output: Chapter in Book/Report/Conference proceedingChapter

5 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 Asilomar Conference on Signals, Systems and Computers
PublisherIEEE
Pages519-523
Number of pages5
Volume1
Publication statusPublished - 1999
Externally publishedYes

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ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Mathurasai, T., Bose, T., & Etter, D. M. (1999). Decision feedback equalization using an Euclidean Direction based adaptive algorithm. In Conference Record of the Asilomar Conference on Signals, Systems and Computers (Vol. 1, pp. 519-523). IEEE.