Orthogonal-transformed variable-gain least mean squares (OVLMS) algorithm for fractional tap-spaced adaptive MLSE equalizers

Satoshi Denno, Yoichi Saito

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A fast channel-estimation scheme for adaptive maximum-likelihood sequence-estimation (MLSE) equalizers called the orthogonal-transformed variable-gain least mean squares (OVLMS) algorithm is proposed. This algorithm requires only as many operations as the least mean squares algorithm in spite of its excellent performance. Furthermore, operational complexity reduction method is proposed in which the orthogonal matrix is reconfigured as eigenvectors with valid eigenvalues. The OVLMS algorithm is theoretically analyzed and is shown to have both fast acquisition and good tracking performance. An equalizer using OVLMS (OVLMS-MLSE) experimentally attains a 5-dB improvement in bit-error rate (BER) performance at BER of 1.0 × 10-4 over coherent detection. The OVLMS-MLSE is found to be free of the degradation caused by sampling phase error. Finally, the OVLMS-MLSE equalizer is experimentally verified to synchronize within five symbols.

Original languageEnglish
Pages (from-to)1151-1160
Number of pages10
JournalIEEE Transactions on Communications
Volume47
Issue number8
DOIs
Publication statusPublished - Dec 1 1999
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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