Reduced complexity MIMO channel estimation and equalization using a polynomial-predictor-based vector GLMS algorithm

Yau Hee Kho, Desmond P. Taylor

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

2 Citations (Scopus)

Abstract

A reduced complexity multiple-input multiple-output (MIMO) channel estimator known as the polynomial-predictor-based vector generalized least mean squares (VGLMS) estimator is developed. It is a simplification of a previously developed polynomial-predictor-based vector generalized recursive least squares (VGRLS) estimator, achieved by replacing the online recursive computation of the 'intermediate' matrix by an offline pre-computed matrix. Similar to the VGRLS estimator, it is able to operate in Rayleigh or Rician fading environments without reconfiguration of the state transition matrix to accommodate the non-random mean components. It is seen to offer a trade-off between reduced complexity channel estimation and good system performance.

Original languageEnglish
Title of host publication18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07
DOIs
Publication statusPublished - 2007
Event18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07 - Athens, Greece
Duration: Sep 3 2007Sep 7 2007

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Other

Other18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07
CountryGreece
CityAthens
Period9/3/079/7/07

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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