An OSIC Based Reduced-Rank MIMO Equalizer Using Conjugate Gradient Algorithm

Chung Lien Ho*, Gau Joe Lin, Ta-Sung Lee

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

A reduced complexity multiple-input multiple-output (MIMO) equalizer with ordered successive interference cancellation (OSIC) is proposed for combating intersymbol interference (ISI) and cochannel interference (CCI) over frequency-selective multipath channels. It is developed as a reduced-rank realization of the conventional MMSE decision feedback equalizer (DFE). In particular, the MMSE weight vectors at each stage of OSIC are computed based on the generalized sidelobe canceller (GSC) technique and reduced-rank processing is incorporated by using the conjugate gradient (CG) algorithm for reduced complexity implementation. The CG algorithm leads to a best low-rank representation of the GSC blocking matrix via an iterative procedure, which in turn gives a reduced-rank equalizer weight vector achieving the best compromise between ISI and CCI suppression. With the dominating interference successfully cancelled at each stage of OSTC, the number of iterations required for the convergence of the CG algorithm decreases accordingly for the desired signal. Computer simulations demonstrate that the proposed reduced-rank MIMO DFE can achieve nearly the same performance as the full-rank MIMO MMSE DFE with an effective rank much lower than the dimension of the signal-plus-interference subspace.

Original languageEnglish
Pages (from-to)2656-2664
Number of pages9
JournalIEICE Transactions on Communications
VolumeE86-B
Issue number9
StatePublished - 1 Jan 2003

Keywords

  • Conjugate gradient algorithm
  • Decision feedback equalizer
  • MIMO
  • Ordered successive interference cancellation
  • Reduced rank

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