Channel equalization using an Euclidean direction search based adaptive algorithm

Guo Fang Xu, Tamal Bose, Jim Schroeder

Research output: Contribution to conferencePaper

3 Scopus citations

Abstract

An adaptive filtering algorithm based on the Euclidean Direction Search (EDS) method is presented for channel equalization. It is shown that this algorithm has a computational complexity of O(N), where N is the number of adaptable filter coefficients. It is also proven that the algorithm converges to the true solution and that the convergence rate of the EDS method is superior to that of the well known LMS algorithm. Computer simulations of channel equalization using the EDS method exhibit a fast rate of convergence and low sensitivity to the eigenvalue spread of the correlation matrix.

Original languageEnglish (US)
Pages3479-3484
Number of pages6
StatePublished - Dec 1 1998
Externally publishedYes
EventProceedings of the IEEE GLOBECOM 1998 - The Bridge to the Global Integration - Sydney, NSW, Aust
Duration: Nov 8 1998Nov 12 1998

Other

OtherProceedings of the IEEE GLOBECOM 1998 - The Bridge to the Global Integration
CitySydney, NSW, Aust
Period11/8/9811/12/98

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Global and Planetary Change

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    Xu, G. F., Bose, T., & Schroeder, J. (1998). Channel equalization using an Euclidean direction search based adaptive algorithm. 3479-3484. Paper presented at Proceedings of the IEEE GLOBECOM 1998 - The Bridge to the Global Integration, Sydney, NSW, Aust, .