• DocumentCode
    152390
  • Title

    Describing the optimum pilot symbol interval via curve fitting methods in OFDM system

  • Author

    Engiz, Begum Korunur ; Kurnaz, C. ; Sezgin, Hatice

  • Author_Institution
    Elektrik-Elektron. Muhendisligi Bolumu, Ondokuz Mayis Univ., Samsun, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    658
  • Lastpage
    661
  • Abstract
    Increasing demand on higher data rates, makes multi carrier systems popular. Orthogonal frequency division multiplexing (OFDM), a form of multicarrier modulation, has been widely applied in wireless communication systems for major advantages. In order to obtain channel state information, and overcome multipath fading channel estimation must be performed in these systems. The channel estimation quality significantly depends on the pilot pattern. In this study, the relationship between the optimum pilot symbol interval that yields the minimum channel estimation mean squared error and coherence bandwidth, coherence time at 0,9 correlation is investigated in OFDM systems for different time and frequency selective channels. Different curve fitting methods are applied to data and performances are compared in terms of normalized root mean squared errors (NRMSE). Considering both simplicity and NRMSE; the optimum pilot symbol interval is calculated by cubic polynomial in frequency direction, and by quadratic polynomial in time direction.
  • Keywords
    OFDM modulation; channel estimation; curve fitting; fading channels; mean square error methods; multipath channels; NRMSE; OFDM systems; channel estimation mean squared error; channel state information; curve fitting; frequency selective channels; multicarrier modulation; multicarrier systems; multipath fading channel estimation; normalized root mean squared errors; optimum pilot symbol interval; orthogonal frequency division multiplexing; quadratic polynomial; wireless communication systems; Channel estimation; Coherence; Conferences; OFDM; Signal processing; Time-frequency analysis; Wireless communication; NRMSE; OFDM; channel estimation; curve fitting methods; the optimum pilot density;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830315
  • Filename
    6830315