• DocumentCode
    3428070
  • Title

    A Novel OFDM Symbol Synchronization Algorithm Based on Cyclic Prefix in DVB-T

  • Author

    Tang Yan-bo ; Ge Wan-cheng

  • Author_Institution
    Tongji Univ., Shanghai
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Van de Beek presented the joint maximum likelihood estimator of time and frequency offset in OFDM systems. In most situations, its´ performance suffices in an acquisition mode. But in low signal-to-noise ratio AWGN channels and multi-path fading channels, the maximum likelihood peak values are not stable in the right place due to high noise effects, multipath delays and Doppler effects respectively. Some samples of cyclic prefix have been polluted by ISI. A new improved solution based on cyclic prefix in DVB-T system is proposed in this paper, which chooses different methods according to signal-to-noise ratio and multi-path delay depth. Averaging the maximum likelihood function in several consecutive symbols, dynamic regulation correlation slide windows and enlarging observation vectors are the key optimized points. It is shown that the proposed method can get sharp peak values and improve the symbol precision compared with the existing methods both in AWGN channels and in multipath channels.
  • Keywords
    AWGN channels; OFDM modulation; digital video broadcasting; maximum likelihood estimation; AWGN channels; DVB-T; OFDM symbol synchronization algorithm; cyclic prefix; joint maximum likelihood estimator; multi-path fading channels; AWGN channels; Additive white noise; Digital video broadcasting; Fading; Frequency estimation; Frequency synchronization; Gaussian noise; Maximum likelihood estimation; OFDM; Signal to noise ratio;
  • 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.2008.174
  • Filename
    4678083