Performance of the multilayer perceptron-based DFE with lattice structure in linear and non-linear channels

Ahmar Shafi*, Azzedine Zerguine

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

In this work, the effect of whitening the input data in a multilayer perceptron (MLP)-based decision feedback equalizer (DFE) is evaluated. It is shown that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of MLP-based decision feedback equalizers. The consistency in performance is observed in time-invariant, time-varying, and non-linear channels.

Original languageEnglish
Pages (from-to)328-331
Number of pages4
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
DOIs
StatePublished - 2001

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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