• DocumentCode
    685220
  • Title

    Doppler shift impact analyses for MB-OFDM based on UWB system

  • Author

    Kabil, Sanaa ; Elassali, Raja ; Elbahhar, Fouzia ; Ouahman, Abdellah Ait ; Essaid, Brahim Ait

  • Author_Institution
    Dept. of Phys., Cadi Ayyad Univ., Marrakech, Morocco
  • fYear
    2013
  • fDate
    28-30 Oct. 2013
  • Firstpage
    533
  • Lastpage
    533
  • Abstract
    Abstract form only given. The Multi-band Orthogonal Frequency-Division Multiplexing system based on Ultra Wide Band (MB-OFDM UWB) support very high data-rate transmission, it is attractive radio technique that coexists with other narrowband signals and has interesting properties. However, Inter-Carrier Interference (ICI) resulting from Doppler shift phenomenon degrades MB-OFDM UWB system performance. In this paper, the Doppler Effect in the MBOFDM UWB system is studied and analyzed over AWGN channel. Two ICI cancellation schemes namely the Extended Kalman Filer (EKF) and the Maximum Likelihood (ML) estimation have been proposed and have been compared in term of Bit Error Rate (BER). EKF algorithm performs better then ML method and gives good results in term of BER.
  • Keywords
    AWGN channels; Doppler shift; Kalman filters; OFDM modulation; error statistics; intercarrier interference; interference suppression; maximum likelihood estimation; ultra wideband communication; AWGN channel; BER; Doppler shift; EKF; ICI cancellation; MB-OFDM UWB system performance; bit error rate; extended Kalman filter; intercarrier interference; maximum likelihood estimation; multiband orthogonal frequency division multiplexing; ultra wideband system; Bit error rate; Doppler shift; Educational institutions; Intelligent transportation systems; Maximum likelihood estimation; BER; Doppler Effect; EKF; MB-OFDM UWB; ML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Systems Management (IESM), Proceedings of 2013 International Conference on
  • Conference_Location
    Rabat
  • Type

    conf

  • Filename
    6761463