• DocumentCode
    1418356
  • Title

    Training sequence optimization: comparisons and an alternative criterion

  • Author

    Chen, Wanshi ; Mitra, Urbashi

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • Volume
    48
  • Issue
    12
  • fYear
    2000
  • fDate
    12/1/2000 12:00:00 AM
  • Firstpage
    1987
  • Lastpage
    1991
  • Abstract
    Two previously proposed training sequence optimization techniques for channel estimation are compared. One method is based on a frequency-domain (FD) based channel estimation method and the other is based on a time-domain (TD) channel estimation technique. The FD method produces a lower complexity search strategy, but does not always result in the optimal training sequences in terms of the mean-squared channel estimation error. A proof of the superiority of the TD method over the FD method is presented. Based on the proof, an alternative search criterion is proposed, which, in general, provides equivalent or better performance than the FD method while still enjoying the low search complexity
  • Keywords
    binary sequences; computational complexity; frequency-domain analysis; mean square error methods; optimisation; parameter estimation; search problems; telecommunication channels; time-domain analysis; training; channel estimation; frequency-domain channel estimation; low search complexity; mean-squared channel estimation error; performance; periodic binary training sequences; search criterion; time-domain channel estimation; training sequence optimization; Autocorrelation; Channel estimation; Communications Society; Computational complexity; Costs; Digital communication; Estimation error; Measurement; Optimization methods; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.891207
  • Filename
    891207