• DocumentCode
    809815
  • Title

    Designing training sequences for carrier frequency estimation in frequency-selective channels

  • Author

    Kim, Young-Doo ; Lim, Jae Kun ; Suh, Changho ; Lee, Yong H.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • Volume
    55
  • Issue
    1
  • fYear
    2006
  • Firstpage
    151
  • Lastpage
    157
  • Abstract
    A procedure for selecting a training sequence (TS) is developed for frequency estimation in frequency-selective channels. An expression for the unconditional Crame´r-Rao bound (UCRB) is obtained by averaging the CRB for frequency estimation over the probability density function of Gaussian random channels. In addition, a necessary and sufficient condition for minimizing the UCRB is derived. Based on these results, a procedure for selecting a TS is developed. Through a computer search, binary TSs up to length 24 are found and tabulated. It is observed that periodic TSs tend to be selected when the TS length is twice the channel duration. Simulation results demonstrate that the proposed TSs can enhance the performance of the maximum likelihood (ML) frequency estimate.
  • Keywords
    Gaussian channels; channel estimation; frequency estimation; maximum likelihood estimation; wireless channels; Gaussian random channels; carrier frequency estimation; frequency-selective channels; maximum likelihood estimation; probability density function; training sequences; unconditional Cramer-Rao bound; Baseband; Channel estimation; Computational modeling; Frequency estimation; Maximum likelihood detection; Maximum likelihood estimation; Minimax techniques; Probability density function; Quadrature amplitude modulation; Receivers; Frequency estimation; frequency-selective channels; training sequence (TS) design;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2005.861173
  • Filename
    1583923