• DocumentCode
    3158389
  • Title

    A fast fading channel estimation scheme for OFDM with sparse and scattered pilot symbols

  • Author

    Hayashi, Hiroyuki ; Okamoto, Eiji ; Iwanami, Yasunori

  • Author_Institution
    Nagoya Inst. of Technol., Nagoya, Japan
  • fYear
    2009
  • fDate
    7-9 Jan. 2009
  • Firstpage
    154
  • Lastpage
    157
  • Abstract
    OFDM (orthogonal frequency division multiplexing) can utilize one-tap equalization for multipath (frequency selective) fading and is widely used in many wireless systems today. However, according to the demand for high-mobility communication and the use of higher carrier frequency, the influence of time selectivity of fading is increasing. Therefore, an accurate channel estimation of time and frequency selective fading is important for OFDM systems. To achieve this requirement, we have proposed a fading estimation scheme FFT to scattered pilot symbols in OFDM. However, the estimation accuracy of this scheme changes by the estimation order of the time and frequency direction, maximum Doppler frequency, and delay spread of fading. Therefore, in this paper, we propose an efficient fast fading channel estimation scheme for OFDM with an adaptive order switching. The performances of the proposed scheme are evaluated by computer simulations.
  • Keywords
    OFDM modulation; channel estimation; fading channels; fast Fourier transforms; multipath channels; FFT; OFDM; adaptive order switching; fading channel estimation; fast Fourier transform; frequency selective fading; multipath fading; orthogonal frequency division multiplexing; scattered pilot symbol; sparse pilot symbol; Channel estimation; Computer simulation; Delay effects; Delay estimation; Fading; Frequency estimation; OFDM; Performance evaluation; Scattering; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communication Systems, 2009. ISPACS 2009. International Symposium on
  • Conference_Location
    Kanazawa
  • Print_ISBN
    978-1-4244-5015-2
  • Electronic_ISBN
    978-1-4244-5016-9
  • Type

    conf

  • DOI
    10.1109/ISPACS.2009.5383877
  • Filename
    5383877