• DocumentCode
    473039
  • Title

    Semi-blind channel estimation based on receiver diversity

  • Author

    Kora, Ahmed D. ; Cances, Jean Pierre ; Meghdadi, Vahid

  • Author_Institution
    Ecole Super. Multinationale des Telecommun., Dakar
  • Volume
    1
  • fYear
    2008
  • fDate
    17-20 Feb. 2008
  • Firstpage
    437
  • Lastpage
    441
  • Abstract
    This paper introduces a semi-blind channel estimation algorithm based on receiver diversity for Multiple Input Multiple Output (MIMO) systems using Orthogonal Frequency Division Multiplexing (OFDM) modulation. To enable the receiver to separate deterministically the preamble streams from each transmit antenna, a given set of subcarriers is attributed to each transmit antenna in the data block which is used as preamble. The receiver can extract the desired transmitted signal by using selectors. The problem is then reduced to a Single Input Multiple Output (SIMO) scheme. Our method consists firstly in separating the contributions of the different transmit antennas and secondly in a semi-blind SIMO channel estimation algorithm which uses SVD decomposition of a particular matrix. The scalar ambiguity of the estimated channel is removed by using a reduced number of pilots symbols.
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; diversity reception; radio receivers; transmitting antennas; MIMO systems; OFDM modulation; SIMO; SVD decomposition; multiple input multiple output systems; orthogonal frequency division multiplexing modulation; receiver diversity; scalar ambiguity; selectors; semiblind channel estimation; single input multiple output scheme; transmit antennas; Bandwidth; Channel estimation; Data mining; Frequency domain analysis; MIMO; Matrix decomposition; OFDM modulation; Quadrature amplitude modulation; Receiving antennas; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on
  • Conference_Location
    Gangwon-Do
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-136-3
  • Type

    conf

  • DOI
    10.1109/ICACT.2008.4493797
  • Filename
    4493797