• DocumentCode
    3486417
  • Title

    SER Performance of Orthogonal Space-Time Block Coding Over Fading Channels with Impulsive Noise

  • Author

    Wang, XuDong ; Gong, Yu ; Lin, Bin

  • Author_Institution
    Coll. of Inf. Eng., Dalian Maritime Univ., Dalian
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    This paper presents the analysis of the performance of orthogonal space-time block coding (OSTBC) over fading channels with impulsive noise. We adopt an epsiv -mixture Gaussian noise model for the noise distribution. Based on an equivalent scalar additive mixture noise channel with a channel gain proportional to the Frobenius norm of the matrix channel for OSTBC, we derive the closed-form expressions for the average symbol error rate (SER) of OSTBC over Rayleigh, Rician and Nakagami-m flat fading channels under the impulsive model. Furthermore, we evaluate the SER performance of the OSTBC for different code matrices with MPSK and MQAM modulations. Simulation results show fine agreement with the analyses.
  • Keywords
    AWGN channels; MIMO communication; Nakagami channels; Rayleigh channels; Rician channels; block codes; error statistics; impulse noise; matrix algebra; orthogonal codes; phase shift keying; quadrature amplitude modulation; space-time codes; Frobenius norm; Gaussian noise model; MPSK modulations; MQAM modulations; Nakagami-m flat fading channels; Rayleigh fading channels; Rician fading channels; SER performance; channel gain proportional; channel matrix; code matrices; equivalent scalar additive mixture noise channel; fading channels; impulsive noise; multiple-input multiple-output technology; orthogonal space-time block coding; symbol error rate; Additive noise; Analytical models; Block codes; Closed-form solution; Error analysis; Fading; Gaussian noise; Modulation coding; Performance analysis; Rician channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.18
  • Filename
    4339793