• DocumentCode
    3282091
  • Title

    Iterative Carrier Frequency Offset Estimation for OFDMA Uplink based on Null Subcarriers

  • Author

    Niu, Di ; Dai, Xianhua

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Sun Yat-sen Univ., Guangzhou
  • fYear
    2006
  • fDate
    22-24 March 2006
  • Firstpage
    295
  • Lastpage
    299
  • Abstract
    In the uplink of an orthogonal frequency division multiple access (OFDMA) system, because of multiple access interference (MAI), carrier frequency offset (CFO) estimation is much more difficult than that in single-user systems. This paper proposes a null subcarrier-based iterative CFO estimation method for the uplink of OFDMA system adopting sub-band based carrier assignment scheme. Rather than applying independent estimations for users separated by bandpass filters, we first obtain an inaccurate initial CFO estimate for each user. Then, we run an iterative scheme which could update the estimates and reduce errors iteration by iteration. The performance of the proposed method is evaluated by simulations.
  • Keywords
    OFDM modulation; frequency division multiple access; frequency estimation; interference suppression; iterative methods; radiofrequency interference; MAI; OFDMA uplink system; carrier frequency offset; multiple access interference; null subcarrier-based iterative CFO estimation method; orthogonal frequency division multiple access; subband based carrier assignment scheme; Downlink; Filter bank; Frequency conversion; Frequency estimation; Frequency synchronization; Iterative methods; Multiple access interference; OFDM; Spread spectrum communication; Sun; OFDM systems; frequency offset estimation; multiple access; null subcarriers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2006 40th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    1-4244-0349-9
  • Electronic_ISBN
    1-4244-0350-2
  • Type

    conf

  • DOI
    10.1109/CISS.2006.286481
  • Filename
    4067822