• DocumentCode
    1614358
  • Title

    Iterative DA/DD Channel Estimation for KSP-OFDM

  • Author

    Welden, Dieter Van ; Steendam, Heidi ; Moeneclaey, Marc

  • Author_Institution
    TELIN Dept., Ghent Univ., Ghent
  • fYear
    2008
  • Firstpage
    693
  • Lastpage
    697
  • Abstract
    In this paper, we propose an iterative joint DA/DD channel estimation algorithm for known symbol padding (KSP) OFDM. The pilot symbols used to estimate the channel are not only located in the guard interval, but also on some of the OFDM carriers. Initially, the channel is estimated using the pilot symbols only. Next, a decision is made with respect to the transmitted data symbols. We consider both hard and soft decision of the data symbols. The decisions on the data symbols are then used to update the channel estimate in a joint DA/DD estimation algorithm. The algorithm iterates between data detection and channel estimation until convergence is reached. At high SNR, the MSE performance of the iterative estimator converges to the MSE performance of the case where all data symbols are prior known at the receiver, i.e. the all pilot DA estimator. It turns out that the MSE performance of hard decision of the data symbols reaches the MSE of the all pilot DA estimator at lower SNR than that of soft decision of the data symbols; this is caused by some approximations needed to simplify the estimation algorithm.
  • Keywords
    OFDM modulation; channel estimation; iterative methods; mean square error methods; KSP-OFDM; MSE; data detection; iterative DA/DD channel estimation; known symbol padding; pilot symbol; Channel estimation; Communications Society; Convergence; Frequency domain analysis; Frequency estimation; Frequency synchronization; Iterative algorithms; Maximum likelihood estimation; OFDM; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.136
  • Filename
    4533172