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Adaptive support vector machine decision feedback equalizer

  • Sumin Zhang*
  • , Shu Li
  • , Donglin Su
  • *Corresponding author for this work
  • Beihang University
  • China Electronics Technology Group Corporation
  • Institute of Land-air Defense Equipment

Research output: Contribution to journalArticlepeer-review

Abstract

An adaptive support vector machine decision feedback equalizer (ASVM-DFE) based on the least square support vector machine (LS-SVM) is proposed, it solves linear system iteratively with less computational intensity. An adaptive non-singleton fuzzy support vector machine decision feedback equalizer (ANSFSVM- DFE) is also presented, it adopts the non-singleton fuzzy Gaussian kernel function with similar characteristic of pre-filter and is modified with a space transformation based approach. Simulations under nonlinear time variant channels show that ASVM-DFE and ANSFSVM-DFE perform very well on nonlinear equalization and ANSFSVM-DFE acts especially well in resisting abrupt interference.

Original languageEnglish
Pages (from-to)452-461
Number of pages10
JournalJournal of Systems Engineering and Electronics
Volume22
Issue number3
DOIs
StatePublished - Jun 2011

Keywords

  • Decision feedback
  • Equalizer
  • Fuzzy system
  • Non-singleton
  • Support vector machine (SVM)

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