Abstract

We propose an equalization algorithm that employs multiple decision-feedback equalizers (DFE)s operating in different directions and arbitration among the outputs of these equalizers to mitigate the effects of two-dimensional intersymbol interference (ISI). The multi-directional arbitrated DFE (MAD) exploits directional diversity to reduce the effects of error-propagation while maintaining complexity on the same order as a DFE. Simulation results show that, when four DFEs are used, the MAD algorithm can achieve substantial gains over a single DFE, including gains of over 10 dB at 10 -2 BER for simulations in this paper.

Original languageEnglish (US)
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - Sep 27 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

Fingerprint

Decision feedback equalizers
Feedback
Intersymbol interference
Equalizers

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Multi-directional decision feedback for 2D equalization. / Nelson, J. K.; Singer, Andrew Carl; Madhow, U.

In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 4, 27.09.2004.

Research output: Contribution to journalConference article

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AB - We propose an equalization algorithm that employs multiple decision-feedback equalizers (DFE)s operating in different directions and arbitration among the outputs of these equalizers to mitigate the effects of two-dimensional intersymbol interference (ISI). The multi-directional arbitrated DFE (MAD) exploits directional diversity to reduce the effects of error-propagation while maintaining complexity on the same order as a DFE. Simulation results show that, when four DFEs are used, the MAD algorithm can achieve substantial gains over a single DFE, including gains of over 10 dB at 10 -2 BER for simulations in this paper.

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