• DocumentCode
    1773495
  • Title

    Pilot based Pre FFT channel estimation for OFDM systems in rayleigh-fading channel

  • Author

    Khan, Adnan M. ; Jeoti, Varun ; Zakariya, M.A.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2014
  • fDate
    3-5 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Channel impairments degrade the performance of accurate data signal detection and decoding. The said problem becomes further severe in low SNR environment. As a result it reduces the performance of channel estimation. To alleviate this problem we develop a pilot based Pre FFT (time domain) channel estimation technique in the presence of Rayleigh fading channel. A novel time domain channel estimation technique is proposed that accurately measure the channel impulse response by using cross correlation between received signal and pilot carriers, especially at low SNR. In addition, the proposed technique enhances robustness in Orthogonal Frequency Division Multiplexing (OFDM) channel estimation by reducing Mean Square Error (MSE). Simulation results show that proposed method provides better accuracy in term of MSE over conventional techniques (LS and MMSE) that estimate the channel impulse response in frequency domain.
  • Keywords
    OFDM modulation; Rayleigh channels; channel estimation; fast Fourier transforms; OFDM systems; Rayleigh fading channel; channel impairments; cross correlation method; data signal decoding; data signal detection; fast Fourier transform; mean square error; orthogonal frequency division multiplexing; pilot carrier; preFFT channel estimation; received signal; time domain channel estimation technique; Channel estimation; Correlation; Estimation; Frequency-domain analysis; OFDM; Signal to noise ratio; Time-domain analysis; LS; MMSE and DVB-T; OFDM; Pre FFT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-4654-9
  • Type

    conf

  • DOI
    10.1109/ICIAS.2014.6869494
  • Filename
    6869494