Modification of the reference signal for fast convergence in lms-based adaptive equalizers

Gi Hun Lee, Rae Hong Park, Byung U. Lee

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

In adaptive equalizers based on least mean squares (LMS) algorithms, the convergence rate is dctcrmined by the correlation matrix of an input signal. When the eigenvalue spread of the correlation matrix is close to unity, the convergence rate is quite fast. In this paper, for fast convergence of LMS-based adaptive equalizers we propose a modified reference signal pertinent to the given statistical channel. From the theoretical analysis and computer simulations, it is shown that the proposed modification method is quite effective for fast convergence of LMS-based adaptive equalizers.

Original languageEnglish
Pages (from-to)645-654
Number of pages10
JournalIEEE Transactions on Consumer Electronics
Volume40
Issue number3
DOIs
StatePublished - Aug 1994

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