Adaptive turbo reduced-rank equalization for MIMO channels

Yakun Sun*, Vinayak Tripathi, Michael L. Honig

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

An adaptive iterative (turbo) decision-feedback equalizer (DFE) for channels with intersymbol interference (ISI) is presented. The filters are computed directly from the soft decisions and received data to minimize a least-squares (LS) cost function. Numerical results show that this method gives a substantial improvement in performance relative to a turbo DFE computed from an exact channel estimate, assuming perfect feedback. Adaptive reduced-rank estimation methods are also presented, based on the multistage Wiener filter (MSWF). The adaptive reduced-rank turbo DFE for single-input/single-output channels is extended to multiple-input/multiple-output (MIMO) channels with ISI and multiple receive antennas. Numerical results show that for MIMO channels with limited training, the reduced-rank turbo DFE can perform significantly better than the full-rank turbo DFE.

Original languageEnglish (US)
Pages (from-to)2789-2800
Number of pages12
JournalIEEE Transactions on Wireless Communications
Volume4
Issue number6
DOIs
StatePublished - Nov 1 2005

Keywords

  • Adaptive filters
  • Multiple-input/multiple-output (MIMO) channels
  • Space-time processing
  • Turbo equalization

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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