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

Gi Hun Lee, Jinho Choi, Rae Hong Park, Iickho Song, Jae Hyuk Park, Byung Uk Lee

Research output: Contribution to journalConference articlepeer-review

Abstract

In adaptive equalizers based on least mean squares (LMS) algorithms, the convergence rate is determined 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 simulation, it is shown that the proposed modification method is quite effective for fast convergence of LMS-based adaptive equalizers.

Original languageEnglish
Pages (from-to)298-299
Number of pages2
JournalDigest of Technical Papers - IEEE International Conference on Consumer Electronics
StatePublished - 1994
EventProceedings of the IEEE International Conference on Consumer Electronics - Chicago, IL, USA
Duration: 21 Jun 199423 Jun 1994

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