Geometric Approach of Blind Channel Estimation

  • Agbeti Bricos Ahossi
  • Ahmed Dooguy KoraEmail author
  • Roger Marcelin Faye
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 204)


This paper introduces a geometric approach of channel estimation (GACE). It is a blind channel estimation method for multiple input multiple output systems. GACE is based on a two-step geometric approach of source separation (GASS) that outperforms the existing ones. It is an approximated maximum likelihood estimation method which proceeds by the determination of the polyhedral edges tilts representing the matrix parameters. It operates by identifying matrix parameters using a geometric consideration depending on the probabilistic hypothesis of the sources. The simplicity of this method is based on a cloud observation, which is used to determine the edge of parallelogram describing the matrix channel parameters. In this paper, the case of real channel parameters and complex data sources for higher modulation order are performed. The simulation results show the efficiency of the proposed approach.


Channel estimation Blind Geometric approach  Sources separation MIMO 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Agbeti Bricos Ahossi
    • 1
  • Ahmed Dooguy Kora
    • 2
    Email author
  • Roger Marcelin Faye
    • 1
  1. 1.Ecole Supérieure Polytechnique, Université Cheikh Anta DiopDakarSenegal
  2. 2.Ecole Supérieure Multinationale des TélécommunicationsDakarSenegal

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