• DocumentCode
    2146434
  • Title

    Reduced complexity blind deterministic frequency offset estimation in OFDM systems

  • Author

    Jeon, Hyoung-Goo ; Kim, Kyoung-Soo ; Serpedin, Erchin

  • Author_Institution
    Dept. of Inf. Commun. Eng., Dongeui Univ., Busan, South Korea
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3544
  • Lastpage
    3547
  • Abstract
    This paper proposes an efficient blind deterministic carrier frequency offset (CFO) estimation method for orthogonal frequency division multiplexing (OFDM) systems. In the proposed method, two OFDM symbols with time difference are generated by exploiting both the oversampled OFDM signal and the cyclic prefix, and a cost function is introduced for CFO estimation. It is shown that the cost function can be expressed as a cosine function. Using a property of the cosine function, a formula for deterministically estimating the CFO is derived. The proposed method is very suitable for real wireless environments since it requires only one OFDM symbol for blind reliable estimation of CFO. The proposed method is very efficient in computational complexity since no searching operation for the minimum cost value is required. The computer simulations show that the performance of the proposed method is superior to those of the MUSIC method and the ML method.
  • Keywords
    OFDM modulation; computational complexity; ML method; MUSIC method; OFDM systems; carrier frequency offset; complexity blind deterministic frequency offset estimation reduction; computational complexity; cosine function; cost function; cyclic prefix; minimum cost value; orthogonal frequency division multiplexing; time difference; wireless environments; Cost function; Discrete Fourier transforms; Estimation; Frequency division multiplexing; Frequency estimation; Multiple signal classification; OFDM; Orthogonal Frequency Division Multiplexing (OFDM); blind; carrier frequency; estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946243
  • Filename
    5946243