An efficient multichannel linear prediction-based blind equalization algorithm in near common zeros condition

Jae Mo Yang, Hong Goo Kang

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This letter proposes an efficient multichannel acoustic channel equalization method under insufficient channel diversity conditions. To overcome an ill-posed problem caused by near common zeros (NCZs) conditions between different channels, a regularization method that restricts the filter norm has been investigated. However, direct application of this method to the linear-predictive multi-input equalization (LIME) method is not effective. To address this situation, this letter puts forth a novel method to disregard the erroneous term of the LIME solution matrix and to increase forced channel diversity (FCD). The accuracy of the proposed equalization filter is compared to that of the conventional regularization method. Experimental results confirm that the NCZs problem can be solved by adopting the proposed methods.

Original languageEnglish
Article number6717992
Pages (from-to)306-310
Number of pages5
JournalIEEE Signal Processing Letters
Volume21
Issue number3
DOIs
Publication statusPublished - 2014 Mar 1

Fingerprint

Blind Equalization
Blind equalization
Linear Prediction
Acoustics
Equalization
Zero
Regularization Method
Channel Equalization
Filter
Ill-posed Problem
Norm
Experimental Results
Term

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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An efficient multichannel linear prediction-based blind equalization algorithm in near common zeros condition. / Yang, Jae Mo; Kang, Hong Goo.

In: IEEE Signal Processing Letters, Vol. 21, No. 3, 6717992, 01.03.2014, p. 306-310.

Research output: Contribution to journalArticle

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