• DocumentCode
    3428036
  • Title

    Research on an OFDM System Using Super-Imposed PN Sequences in Time Domain

  • Author

    Gong, Guoqiang ; Ge, Wancheng

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Univ. of Tongji, Shanghai
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    An OFDM structure based on super-imposed pseudo-random sequences for time domain synchronization is proposed. A time synchronization method is proposed, which is exactly located in the first channel delay by periodically super-imposed sequences. The amplitude value of each channel path estimated with minimum mean square error (MMSE) can be easily deduced with help of periodical sequences. For depth fading channels, the proposed estimation brings the performance improvement. Simulation results show that the proposed time synchronization and channel estimation algorithm achieve good performances when the super-imposed relative power approximates to 0.1.
  • Keywords
    OFDM modulation; channel estimation; fading channels; least mean squares methods; random sequences; synchronisation; OFDM structure; OFDM system; channel estimation algorithm; channel path; depth fading channels; first channel delay; minimum mean square error; orthogonal frequency division multiplexing; periodical sequences; periodically super-imposed sequences; super-imposed PN sequences; super-imposed pseudo-random sequences; time domain synchronization; Amplitude estimation; Channel estimation; Delay effects; Digital video broadcasting; Fading; Frequency domain analysis; Frequency synchronization; Mean square error methods; OFDM; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.172
  • Filename
    4678081