• DocumentCode
    1983769
  • Title

    Coarse frame synchronization for OFDM systems using SNR estimation

  • Author

    Fan Yang ; Xi Zhang ; Zhong-pei Zhang

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    3965
  • Lastpage
    3969
  • Abstract
    In wireless orthogonal frequency division multiplexing (OFDM) systems, coarse frame synchronization and signal-to-noise ratio (SNR) values are two crucial parameters for OFDM receivers. In this paper, we develop a coarse timing estimator to overcome the plateau phenomenon by using delayed correlation between two estimated SNR values. The training symbol is designed for multiple pieces instead of two parts to mitigate the Doppler effect for SNR estimation. Compared with the Minn´s scheme, our proposed scheme has smaller estimation variance both in EVA and ETU channels, which can also provide an estimated SNR value in the time domain. The obtained SNR value can be further reused to carrier frequency offset (CFO) estimation or decoding for system performance improvement.
  • Keywords
    OFDM modulation; correlation methods; decoding; estimation theory; radio receivers; synchronisation; wireless channels; CFO estimation; Doppler effect; ETU channel; EVA channel; Minn scheme; OFDM receiver; OFDM system; SNR estimation; carrier frequency offset; coarse frame synchronization; coarse timing estimator; decoding; delayed correlation; estimated SNR value; estimation variance; signal-to-noise ratio; system performance improvement; training symbol; wireless orthogonal frequency division multiplexing system; Coarse frame synchronization; OFDM; SNR estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503736
  • Filename
    6503736