• DocumentCode
    2300142
  • Title

    An iterative Estimation and Detection Technique for OFDM Systems with Multiple Frequency Offsets (Doppler Shifts)

  • Author

    Yu, Qiang ; Lambotharan, Sangarapillai

  • Author_Institution
    Cardiff Univ., Cardiff
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    An iterative frequency offsets (FOs) estimation and correction technique for OFDM is proposed to track multiple frequency offsets due to distinct Doppler shifts associated with multi- paths. The pilot symbols available in an OFDM symbol for channel estimation can be combined with the soft estimates of the data symbols in an iterative manner to track carrier frequency offsets. The main merit of this iterative method is its capability of tracking frequency offsets. The proposed iterative technique has the ability to resolve multipaths, bringing the multiple frequency offset problem into the estimation of distinct frequency offsets. We verify the detection performance using BER curves and the estimation performance through comparison of the variance of estimates with the Cramer-Rao lower bounds (CRLB).
  • Keywords
    Doppler shift; OFDM modulation; channel estimation; error statistics; frequency estimation; iterative methods; BER; Cramer-Rao lower bounds; Doppler shifts; OFDM systems; channel estimation; data symbols; iterative detection technique; iterative frequency offsets estimation; multiple frequency offsets; pilot symbols; Channel estimation; Digital signal processing; Doppler shift; Frequency estimation; Interference; Land mobile radio; Local oscillators; Maximum likelihood estimation; Mobile communication; OFDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-1144-3
  • Electronic_ISBN
    978-1-4244-1144-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2007.4394679
  • Filename
    4394679