• DocumentCode
    1351957
  • Title

    Channels estimation in OFDM system over rician fading channel based on comb-type pilots arrangement

  • Author

    Mousa, Alaa ; Mahmoud, Hanafy

  • Author_Institution
    Electr. Eng. Dept., An Najah Univ., Nablus, Palestinian Authority
  • Volume
    4
  • Issue
    5
  • fYear
    2010
  • Firstpage
    598
  • Lastpage
    602
  • Abstract
    Orthogonal frequency-division multiplexing (OFDM) is a transmission technique that is based on many orthogonal carriers that are transmitted simultaneously. Channel estimation techniques for OFDM systems, based on comb-type pilot arrangement, over frequency-selective Rician and time-varying fading channel are investigated. The advantage of comb-type pilot arrangement, in channel estimation, is the ability to track the variation in the channel, which is the main reason for inter-carrier interference modelled as an additive white Gaussian noise, leading to an increase in the noise level. The estimation of the channel at the pilot frequencies is based on least-square (LS) method. Several interpolation methods have been used to estimate the channel response at the data frequency. In this study, simulation results for Rician channel model were examined and bit error rate/signal-to-noise ratio performance, for various conditions, were considered, and the pilot arrangement was used with the LS estimation and low-pass interpolation techniques, leading to a reduction in the effect of Doppler frequency.
  • Keywords
    AWGN channels; OFDM modulation; Rician channels; channel estimation; error statistics; intercarrier interference; interpolation; least squares approximations; time-varying channels; Doppler frequency reduction; OFDM system; additive white Gaussian noise; bit error rate; channel estimation; comb-type pilot arrangement; frequency selective Rician fading channel; intercarrier interference; least square method; low pass interpolation techniques; orthogonal frequency division multiplexing; pilot frequency; time varying fading channel;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2009.0170
  • Filename
    5602928