Multi-input multi-output MLP/BP-based decision feedback equalizers for overcoming intersymbol interference and co-channel interference in wireline band-limited channels

Terng Ren Hsu*, Terng-Yin Hsu, Jenn Tzer Yang, Chen-Yi Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper presents a multi-input multi-output (MIMO) multi-layered perceptron neural network with backpropagation algorithm (MLP/BP). The proposal is a waveform equalizer for distorted nonreturn-to-zero (NRZ) data recovery in band-limited channels with co-channel interference (CCI). From the simulation results, we note that the proposed design can recover severe distorted NRZ data as well as suppress intersymbol interference (ISI) and co-channel interference. As a result the better performance as compared to LMS DFEs is achieved in the band-limited channels where the data rate is ten times as much as the channel bandwidth. By fixed point simulations, the proposed scheme outperforms the LMS DFE. Further, the internal resolution enhancement technique provides a better compromise between cost and performance.

Original languageEnglish
Pages (from-to)477-484
Number of pages8
JournalWSEAS Transactions on Circuits and Systems
Volume5
Issue number4
StatePublished - 1 Apr 2006

Keywords

  • Co-channel interference (CCI)
  • Decision-feedback equalizer (DFE)
  • Intersymbol interference (ISI)
  • Minimum mean square error (MMSE)
  • Multi-layered perceptron neural network with backpropagation algorithm (MLP/BP, BPN)
  • Nonreturn-to-zero (NRZ)

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