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Blind IIR channel equalization based on second-order statistics

  • Fangjiong Chen
  • , Sam Kwong
  • , Wenfei Nie
  • , Gang Wei
  • , Fei Ji

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Direct blind equalization of Single-Input-Single-Output (SISO) Infinite-Impulse-Response (IIR) channels is investigated by oversampling the channel output. Only second-order statistics is required and the channel order need not to be known. We first transform the oversampled channel into a special Single-Input-Multiple-Output (SIMO) model. Then a linear prediction approach is applied to partially estimate the model parameters. Based on the estimated parameters, Zero-forcing equalizers and MMSE equalizers are developed and their efficiency are evaluated by computer simulations. © 2006 IEEE.
Original languageEnglish
Title of host publication2006 IEEE 63rd Vehicular Technology Conference
Subtitle of host publicationProceedings
PublisherIEEE
Pages2334-2338
Volume5
ISBN (Electronic)0780393929
ISBN (Print)0-7803-9391-0
DOIs
Publication statusPublished - 2006
Event63rd IEEE Vehicular Technology Conference (VTC 2006-Spring) - Melbourne, Australia
Duration: 7 May 200610 Jul 2006

Publication series

Name
ISSN (Print)1550-2252

Conference

Conference63rd IEEE Vehicular Technology Conference (VTC 2006-Spring)
PlaceAustralia
CityMelbourne
Period7/05/0610/07/06

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