• DocumentCode
    3213857
  • Title

    Blind channel estimation for OFDM systems using all entries of covariance matrix

  • Author

    Pirsiavash, Ali ; Salari, Soheil ; Ghadrdan, S.

  • Author_Institution
    Electr. Eng. Dept., K.N.Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    15-17 May 2012
  • Firstpage
    1093
  • Lastpage
    1096
  • Abstract
    In this paper we considered a non-redundant linear precoding blind channel estimation method for orthogonal frequency-division multiplexing (OFDM) system and proposed an improved algorithm to achieve better performance. A wide range of blind channel estimation methods are based on the covariance matrix of received symbols. In practice, the covariance matrix is unknown and must be estimated through time averaging over received OFDM blocks. To this end, the unknown channel must remain time invariant through the averaging process. Therefore the number of averaging steps is finite and the way of using the covariance matrix components is important in practical applications. In this paper, we propose a new algorithm by an efficient use of covariance matrix components. Simulation results show the proposed method improvement over the other blind estimation methods.
  • Keywords
    OFDM modulation; channel coding; channel estimation; covariance matrices; linear codes; precoding; OFDM systems; covariance matrix components; nonredundant linear precoding blind channel estimation method; orthogonal frequency-division multiplexing system; received symbols; Channel estimation; OFDM; Radio access networks; Signal to noise ratio; Simulation; Time frequency analysis; Orthogonal frequency division; covariance matrix; cyclic Prefix; fast Fourier transform; non-redundant linear precoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2012 20th Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4673-1149-6
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2012.6292517
  • Filename
    6292517