• DocumentCode
    687967
  • Title

    A new precoder design for precoding-based Blind channel estimation for MIMO-OFDM systems

  • Author

    Song Noh ; Zoltowski, M.D.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    3306
  • Lastpage
    3311
  • Abstract
    Semi-Blind/Blind channel estimation for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems has received a lot of attention in recent years. A new linear precoder for blind channel estimation is proposed in which only a small number of subcarriers carry symbols that are linearly precoded to effect the inter-symbol correlation needed for the blind channel estimation scheme to function properly. The proposed precoding scheme leaves most of the subcarriers intact, thereby minimizing the number of symbols that have to be jointly estimated via either Maximum Likelihood (ML) or MMSE. An optimal precoder under the sparse structure is developed, which insures that the precoder matrix is well-conditioned to minimize any noise enhancement that may occur in the process of MMSE based joint symbol estimation.
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; correlation methods; interference suppression; least mean squares methods; maximum likelihood estimation; precoding; sparse matrices; MIMO-OFDM system; MMSE process; intersymbol correlation; joint symbol estimation; maximum likelihood estimation; multiple-input multiple-output system; noise enhancement minimization; optimal linear precoder subcarrier; orthogonal frequency-division multiplexing system; precoder matrix; precoding-based blind channel estimation; semiblind channel estimation scheme; sparse structure; Blind equalizers; Channel estimation; Eigenvalues and eigenfunctions; Estimation; MIMO; Noise; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2013.6831582
  • Filename
    6831582