• DocumentCode
    407590
  • Title

    Maximum likelihood estimation of integer frequency offset for OFDM

  • Author

    Chen, Chen ; Li, Jiandong ; Han, Gang ; Sheng, Min

  • Author_Institution
    Broadband Wireless Commun. Lab., Xidian Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2004
  • fDate
    29-31 March 2004
  • Firstpage
    223
  • Abstract
    One of the principal disadvantages of orthogonal frequency division multiplexing (OFDM) is very sensitive to frequency offset. Carrier frequency offset can be divided into two parts: an integer one and a fractional one. The integer frequency offset has no effect on the orthogonality among the subcarriers, however causes a circular shift of the received data symbols, resulting in a BER of 0.5. The maximum likelihood (ML) estimation algorithm of the integer frequency offset is derived under the assumption that the channel impairments only consist of additive noise. Simulation results show that it can perform well even in a time-dispersive channel. Its performance is assessed and compared with the conventional method by computer simulations for the additive white Gaussian noise (AWGN) channel and a multipath fading channel.
  • Keywords
    AWGN channels; OFDM modulation; error statistics; fading channels; maximum likelihood estimation; multipath channels; BER; OFDM modulation; additive white Gaussian noise channel; bit error rate; computer simulation; integer frequency offset; maximum likelihood estimation; multipath fading channel; orthogonal frequency division multiplexing; time-dispersive channel; AWGN; Additive noise; Additive white noise; Bit error rate; Computational modeling; Computer simulation; Frequency conversion; Frequency estimation; Maximum likelihood estimation; OFDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications, 2004. AINA 2004. 18th International Conference on
  • Print_ISBN
    0-7695-2051-0
  • Type

    conf

  • DOI
    10.1109/AINA.2004.1283791
  • Filename
    1283791