Performance of linear receivers based on superimposed training

Abla Kammoun*, Karim Abed-Meraim, Sofiène Affes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


In this paper, we derive a performance comparison between two training-based schemes for MIMO semi-blind channel estimation. The two schemes are the conventional superimposed training scheme and the more recently proposed data-dependent superimposed pilot scheme. For both schemes, a closed-form for the outage probability and a lower bound of the bit error rate are given. We also determine for the data-dependant superimposed training scheme the optimal allocation of power between pilot and data. Once the optimal data and training power are set, we prove analytically that the optimum data-dependent superimposed scheme always outerperforms the conventional superimposed training scheme.

Original languageEnglish (US)
Title of host publicationSPAWC 2007 - 8th IEEE Workshop on Signal Advances in Wireless Communications
StatePublished - 2007
Externally publishedYes
Event8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007 - Helsinki, Finland
Duration: Jun 17 2007Jun 20 2007


Other8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007


  • Linear receiver
  • MIMO systems performance
  • Semi-blind channel estimation
  • Superimposed training sequence

ASJC Scopus subject areas

  • Signal Processing
  • Engineering(all)


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