MLP/BP-based decision feedback equalizers with high skew tolerance in wireline band-limited channels

Terng Ren Hsu*, Jyh Neng Yang, Terng-Yin Hsu, Chen-Yi Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

A multi-layered perceptron neural network with backpropagation algorithm (MLP/BP) is realized as a waveform equalizer for distorted nonreturn-to-zero (NRZ) data recovery in band-limited channels. Moreover, the proposed approach can tolerate sampling clock skew and channel response variance. According to simulation results, the proposed design can recover severe distorted NRZ data with better performance than LMS DFEs in the band-limited channel that the data rate is ten times as much as the channel bandwidth. Under the 20% channel response variance and the 30% sampling clock skew, the proposed approach can provide an acceptable performance. By fixed point simulations, the proposed scheme is realizable and outperform the LMS DFE. Further, the internal resolution enhancement technique provides a better compromise between cost and performance.

Original languageEnglish
Pages (from-to)239-245
Number of pages7
JournalWSEAS Transactions on Communications
Volume5
Issue number2
StatePublished - 1 Feb 2006

Keywords

  • And Nonreturn-to-Zero (NRZ)
  • Clock Skew
  • Decision-Feedback Equalizer (DFE)
  • Internal Resolution Enhancement
  • Intersymbol Interference (ISI)
  • Minimum Mean Square Error (MMSE)
  • Multi-Layered Perceptron Neural Network with Backpropagation Algorithm (MLP/BP)

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