Self-tuning blind identification and equalization of IIR channels

Miloje Radenkovic, Tamal Bose, Zhurun Zhang

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

This paper considers self-tuning blind identification and equalization of fractionally spaced IIR channels. One recursive estimator is used to generate parameter estimates of the numerators of IIR systems, while the other estimates denominator of IIR channel. Equalizer parameters are calculated by solving Bezout type equation. It is shown that the numerator parameter estimates converge (a.s.) toward a scalar multiple of the true coefficients, while the second algorithm provides consistent denominator estimates. It is proved that the equalizer output converges (a.s.) to a scalar version of the actual symbol sequence.

Original languageEnglish (US)
Pages (from-to)930-937
Number of pages8
JournalEurasip Journal on Applied Signal Processing
Volume2003
Issue number9
DOIs
StatePublished - Aug 1 2003
Externally publishedYes

Keywords

  • Blind identification
  • Digital filtering
  • Parameter convergence
  • Recursive estimation
  • Self-tuning equalization

ASJC Scopus subject areas

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

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