Blind adaptive equalizer for IIR channels with common zeros

Miloje Radenkovic, Tamal Bose

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

Abstract

This paper considers the problem of blind adaptive equalization of single-input multiple-output IIR channels without requiring the channel diversity condition. That is, the parallel sub-channels in the fractionally sampled model can have common factors. We develop an equalizer based on IIR prediction of the received signal. The predictor parameters are estimated by using the Recursive Extended Least Squares (RELS) algorithm. It is proved that the adaptive equalizer is globally stable and the prediction error converges in a Cesaro sense almost sure (a.s.)(with probability one) towards a scalar multiple of the input symbol sequence.

Original languageEnglish (US)
Title of host publicationISCAS 2006
Subtitle of host publication2006 IEEE International Symposium on Circuits and Systems, Proceedings
Pages4195-4198
Number of pages4
StatePublished - Dec 1 2006
Externally publishedYes
EventISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems - Kos, Greece
Duration: May 21 2006May 24 2006

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

OtherISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems
CountryGreece
CityKos
Period5/21/065/24/06

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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