• DocumentCode
    728815
  • Title

    MIMO Channel identification using the DOA and DOD estimation

  • Author

    Hachad, L. ; Mrabti, F. ; Zouak, M. ; Mrabti, M.

  • Author_Institution
    Lab. SSC, Fac. of Sci. & Technol., Fes, Morocco
  • fYear
    2015
  • fDate
    13-15 May 2015
  • Firstpage
    86
  • Lastpage
    89
  • Abstract
    Channel identification finds direct application in the growing field of mobile wireless communications. In this paper, we address this problem in the context of multi-users: multiple-input multiple-output (MIMO) channels. To avoid scheduling at the reception we will proceed to a source separation (DOA and DOD estimation) then we will deduct the channel parameters. The estimation of the directions of departure (DOD) and directions of arrival (DOA), is based on the strong algebraic structure of tensor algebra: PARAFAC method. The Second Order Statistics (SOS) are used for the estimation of the impulse response´s parameters of the MIMO channel. The performance of the proposed method will be proved by the simulation study.
  • Keywords
    MIMO communication; channel estimation; direction-of-arrival estimation; tensors; DOA estimation; DOD estimation; MIMO channel identification; PARAFAC method; channel parameters; directions of arrival; directions of departure; second order statistics; source separation; tensor algebra; Channel estimation; Direction-of-arrival estimation; Estimation; MIMO; Signal to noise ratio; Tensile stress; US Department of Defense; Array Processing; Channel estimation; MIMO (Multi Input Multi-Output); Tensor Algebra;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RFID And Adaptive Wireless Sensor Networks (RAWSN), 2015 Third International Workshop on
  • Conference_Location
    Agadir
  • Print_ISBN
    978-1-4673-8095-9
  • Type

    conf

  • DOI
    10.1109/RAWSN.2015.7173286
  • Filename
    7173286