Improved decision-directed recursive least squares MIMO channel tracking

  • Authors:
  • Emna Eitel;Rana H. Ahmed Salem;Joachim Speidel

  • Affiliations:
  • Institute of Telecommunications, University of Stuttgart, Germany;Institute of Telecommunications, University of Stuttgart, Germany;Institute of Telecommunications, University of Stuttgart, Germany

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

This paper presents a comparative study of different Recursive Least Squares algorithms to track a Rayleigh flat fading MIMO channel. We investigate the effect of the initialization and training of these algorithms on their performance. We propose a new training scheme which can deliver a lower mean squared estimation error without loss of bandwidth efficiency.