Regularized semi-blind estimator over MIMO-OFDM systems

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

Abstract

In semi-blind channel estimation techniques, the choice of the regularizing parameter that weights the blind criterion when linearly combined to the training-based least square criterion has a great impact on channel estimation performance. If a scalar regularization is considered, it has been noted that the optimal value of the regularizing factor has no closed-form expression. In a recent work, we proved that by using a regularization matrix instead, we not only enhance the performance but also can determine a closed-form expression for the optimal regularizing matrix that minimizes the asymptotic mean-square-error of the channel estimate. In this paper, we generalize our work to the context of Multiple-Input-Multiple-Output-Orthogonal-Frequency-Division-Multiplexing (MIMO-OFDM). As an application, we propose to make a performance comparison between linear prediction and subspace semi-blind estimators. In particular, we assess by simulations the accuracy of the derived results and investigate the Bit Error Rate performance as well as the impact of channel overmodeling.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
Pages189-194
Number of pages6
DOIs
StatePublished - Dec 1 2009
Event9th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009 - Ajman, United Arab Emirates
Duration: Dec 14 2009Dec 16 2009

Publication series

NameIEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009

Other

Other9th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
CountryUnited Arab Emirates
CityAjman
Period12/14/0912/16/09

Keywords

  • Asymptotic performance
  • MIMO-OFDM
  • Regularization
  • Semi-blind equalization

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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