Soft input channel estimation for turbo equalization

Seongwook Song, Andrew C. Singer, Koeng Mo Sung

Research output: Contribution to journalArticle

Abstract

In this paper, we consider soft decision directed channel estimation for turbo equalization. To take advantage of soft information provided by the decoder, a minimum mean square error linear channel estimator is derived under an uncorrelated channel tap model, and a soft input recursive least squares algorithm is also developed by modifying the cost function of the conventional recursive least squares algorithm. The performance of the proposed channel estimators are analyzed in terms of mean square identification error (MSIE) for stationary channels. Simulation results for both time-invariant and time-varying frequency-selective Rayleigh fading channels are also presented.

Original languageEnglish (US)
Pages (from-to)2885-2894
Number of pages10
JournalIEEE Transactions on Signal Processing
Volume52
Issue number10
DOIs
StatePublished - Oct 2004

Keywords

  • Channel estimation
  • Soft input
  • Turbo equalization

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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