• DocumentCode
    3693998
  • Title

    Performance evaluation of polynomial based channel estimation for OFDM systems on time-varying frequency-selective fading channels

  • Author

    O. O. Ogundile;D. J. J. Versfeld

  • Author_Institution
    School of Electrical and Information Engineering, University of the Witwatersrand, Private Bag 3, Wits. 2050, Johannesburg, South Africa
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Channel estimation based on Pilot Symbol Assisted Modulation (PSAM) has been investigated for OFDM systems on time-varying frequency-selective channels in different literature. The varying properties of the channel degrades the performance of the OFDM system which is perceived as special case of multi-carrier transmission. This paper investigates the performance of PSAM polynomial interpolation based channel estimation for OFDM systems on time-varying frequency-selective channels. The PSAM polynomial interpolation channel estimation is based on block type pilot arrangement. The SER performance of the OFDM system, and computational time complexities of the PSAM polynomial channel estimation are analysed for different fading rates, frame lengths and polynomial orders (P-orders). The SER performance is documented assuming 16-QAM as the modulation scheme in the OFDM system. From the computer simulation results, we summarize that the SER performance of polynomial based channel estimator is highly dependent on the SNR and the fading rate. Although, low P-orders exhibit good SER performance most significantly at low SNR. Also, the lower the P-orders the better SER performance and computational time complexity trade-off because high P-orders exhibit more computational delay and time complexity.
  • Keywords
    "OFDM","Channel estimation","Interpolation","Polynomials","Time complexity","Frequency-domain analysis","Fading"
  • Publisher
    ieee
  • Conference_Titel
    AFRICON, 2015
  • Electronic_ISBN
    2153-0033
  • Type

    conf

  • DOI
    10.1109/AFRCON.2015.7332000
  • Filename
    7332000