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2006•International Journal of Adaptive Control and Signal ProcessingRequires access

Robust ISI equalization for uncertain channels via minimax optimal filtering

Valery Ugrinovskii, Ian R. Petersen

Open publisher page 5 citations

Abstract

We consider a problem of equalization for intersymbol interference (ISI) occurring during data transmission through an imperfectly known channel. It is shown that this problem can be effectively addressed using the minimax filtering approach developed in the paper. This approach leads to a numerically tractable methodology for robust equalizer design which guarantees an optimal upper bound on the equalization error. Copyright © 2006 John Wiley & Sons, Ltd.

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What this paper is about

We consider a problem of equalization for intersymbol interference (ISI) occurring during data transmission through an imperfectly known channel. It is shown that this problem can be effectively addressed using the minimax filtering approach developed in the paper. This approach leads to a numerically tractable methodology for robust equalizer design which guarantees an optimal upper bound on the equalization error. Copyright © 2006 John Wiley & Sons, Ltd.

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Available abstract

We consider a problem of equalization for intersymbol interference (ISI) occurring during data transmission through an imperfectly known channel. It is shown that this problem can be effectively addressed using the minimax filtering approach developed in the paper. This approach leads to a numerically tractable methodology for robust equalizer design which guarantees an optimal upper bound on the equalization error. Copyright © 2006 John Wiley & Sons, Ltd.

Key concepts: Intersymbol interference, Equalization (audio), Minimax, Computer science, Nyquist ISI criterion, Channel (broadcasting), Equalizer, Adaptive equalizer

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