Self-tuning blind identification and equalization of IIR channels
type: Item
instance of: scholarly article
title: Self-tuning blind identification and equalization of IIR channels
zbMATH Open document ID: 1066.94512
DOI: 10.1155/S111086570330410X
author: T. Bose
author: Zhurun Zhang
author: Miloje Radenkovic
published in: EURASIP Journal on Applied Signal Processing
publication date: 2005-05-03T00:00:00Z
review text: Summary: 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 the denominator of an IIR channel. The equalizer parameters are calculated by solving a Bézout 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.
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 94A40
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 94A05
zbMATH DE Number: 2163795
zbMATH Keywords: recursive estimation
zbMATH Keywords: self-tuning blind equalization
zbMATH Keywords: identification
zbMATH Keywords: digital filtering
zbMATH Keywords: parameter convergence
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 2163795