• DocumentCode
    3007314
  • Title

    Modified deterministic structure based carrier frequency offset estimation for interleaved OFDMA uplink

  • Author

    Huang, Hsin-Yi ; Wei, Shyue-Win

  • Author_Institution
    Grad. Inst. of Commun. Eng., Nat. Chi Nan Univ., Puli, Taiwan
  • fYear
    2009
  • fDate
    8-10 Oct. 2009
  • Firstpage
    376
  • Lastpage
    380
  • Abstract
    A modified deterministic structure based carrier frequency offset (CFO) estimation algorithm is presented for the interleaved orthogonal frequency division multiple access (OFDMA) uplink transmission. The presented algorithm combines the conventional deterministic structure algorithm with multiple access interference (MAI) cancellation method so that the estimation performance can be significantly improved. The presented iterative CFO estimation algorithm can work well on both AWGN and multi-path fading channels, especially when the system is fully loaded and the effective CFOs are very close to each other.
  • Keywords
    AWGN channels; OFDM modulation; fading channels; frequency division multiple access; frequency estimation; interference suppression; iterative methods; multipath channels; radiofrequency interference; AWGN channel; CFO estimation algorithm; carrier frequency offset estimation; interleaved OFDMA uplink transmission; iterative CFO estimation algorithm; modified deterministic structure; multipath fading channels; multiple access interference cancellation method; orthogonal frequency division multiple access uplink transmission; Content addressable storage; Downlink; Fading; Frequency conversion; Frequency diversity; Frequency estimation; Frequency synchronization; Iterative algorithms; Multiple access interference; OFDM; OFDMA; carrier frequency offset; deterministic structure based estimation; interleaved subcarriers allocation; multi-path fading channel; uplink;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4784-8
  • Electronic_ISBN
    978-1-4244-4785-5
  • Type

    conf

  • DOI
    10.1109/APCC.2009.5375612
  • Filename
    5375612