• DocumentCode
    2782998
  • Title

    2-Step Frequency-Domain Channel Estimation for Training Sequence Inserted Single-Carrier Block Transmission

  • Author

    Yamamoto, Tetsuya ; Adachi, Fumiyuki

  • Author_Institution
    Dept. of Electr. & Commun. Eng., Tohoku Univ., Sendai, Japan
  • fYear
    2012
  • fDate
    3-6 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose a 2-step frequency-domain channel estimation scheme suitable for training sequence inserted single-carrier (TS-SC) block transmission using frequency-domain equalization (FDE). In the first step, the received training sequence having cyclic property is constructed for frequency-domain channel estimation to obtain the instantaneous channel estimate. Improved channel estimate is obtained by simply averaging the instantaneous channel estimates over several blocks. In the second step, the maximum likelihood channel estimation is carried out iteratively by using both the estimated symbol sequence and the training sequence. The BER performance with the proposed frequency-domain channel estimation scheme is evaluated by computer simulation. It is shown that the proposed channel estimation scheme achieves a BER performance close to the perfect channel estimation.
  • Keywords
    channel estimation; equalisers; error statistics; frequency-domain analysis; maximum likelihood estimation; 2-step frequency-domain channel estimation; BER performance; FDE; TS-SC block transmission; computer simulation; cyclic property; estimated symbol sequence; frequency-domain equalization; instantaneous channel estimate; maximum likelihood channel estimation; training sequence inserted single-carrier block transmission; Bit error rate; Channel estimation; Discrete Fourier transforms; Frequency domain analysis; Niobium; Noise; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2012 IEEE
  • Conference_Location
    Quebec City, QC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4673-1880-8
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2012.6399052
  • Filename
    6399052