A recursive blind adaptive equalizer for IIR channels with common zeros

Miloje S. Radenkovic, Tamal Bose

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper considers the problem of blind adaptive equalization of infinite impulse response (IIR) channels without requiring the channel diversity condition. That is, the subchannels in the fractionally sampled model can have common factors. We analyze the case of two parallel channels, and 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 with probability one the adaptive equalizer is globally stable, the parameter estimates are consistent, and the prediction error converges toward a scalar multiple of the input symbol sequence.

Original languageEnglish (US)
Pages (from-to)467-486
Number of pages20
JournalCircuits, Systems, and Signal Processing
Volume28
Issue number3
DOIs
StatePublished - Jun 2009
Externally publishedYes

Fingerprint

Equalizer
Equalizers
Impulse Response
Impulse response
Common factor
Equalization
Least Square Algorithm
Zero
Prediction Error
Predictors
Scalar
Converge
Prediction
Estimate
Model

Keywords

  • Blind equalization
  • Fractional sampling
  • IIRpredictor
  • RELS

ASJC Scopus subject areas

  • Signal Processing
  • Applied Mathematics

Cite this

A recursive blind adaptive equalizer for IIR channels with common zeros. / Radenkovic, Miloje S.; Bose, Tamal.

In: Circuits, Systems, and Signal Processing, Vol. 28, No. 3, 06.2009, p. 467-486.

Research output: Contribution to journalArticle

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