• DocumentCode
    3141980
  • Title

    Channel Estimation Algorithm for Super-Orthogonal Space Time Trellis Coded-OFDM Systems

  • Author

    Sokoya, Oludare ; Maharaj, B.T.

  • Author_Institution
    Dept. of Electr., Electron. & Comput. Eng., Univ. of Pretoria, Pretoria
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    335
  • Lastpage
    339
  • Abstract
    The performance of super-orthogonal space time trellis coded orthogonal frequency division multiplexing (SOTTC-OFDM) systems relies on accurate channel state information at the receiver for proper decoding. In this paper, we propose a channel estimation algorithm that takes advantage of the super-orthogonal properties of the super-orthogonal space time trellis code. The algorithm is tested via a Monte Carlo simulation using frequency selective quasi-static Rayleigh fading channel. The paper presents the frame error (FER) and bit error rate (BER) performance comparison of the SOSTTC-OFDM scheme for various channel delay spread when this algorithm is used to estimate the channel.
  • Keywords
    Monte Carlo methods; OFDM modulation; Rayleigh channels; channel estimation; decoding; error statistics; orthogonal codes; space-time codes; trellis coded modulation; BER; Monte Carlo simulation; OFDM systems; Rayleigh fading channel; bit error rate performance; channel estimation algorithm; channel state information; decoding; frame error rate; frequency selective quasi-static channel; orthogonal frequency division multiplexing; space time codes; super-orthogonal codes; trellis codes; Bit error rate; Channel estimation; Channel state information; Convolutional codes; Decoding; Delay estimation; Fading; Frequency; OFDM; Testing; OFDM; Space time trellis codes; comb-type estimation; frequency selective channel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Communications, 2008. WIMOB '08. IEEE International Conference on Wireless and Mobile Computing,
  • Conference_Location
    Avignon
  • Print_ISBN
    978-0-7695-3393-3
  • Electronic_ISBN
    978-0-7695-3393-3
  • Type

    conf

  • DOI
    10.1109/WiMob.2008.60
  • Filename
    4654259