• DocumentCode
    2169633
  • Title

    A Low Complexity Channel Estimation Algorithm for TDS-OFDM System

  • Author

    Hu Feng ; Li Jianping

  • Author_Institution
    Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    LMMSE algorithm is one of the best linear channel estimations for time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) system. The research on the computational complexity reduction of LMMSE algorithm remains to be a challenging topic. Since the combination of fast Fourier transform with singular value decomposition (FFT-SVD) simplify the channel autocorrelation matrix computation in frequency domain, an improved LMMSE algorithm based on FFT-SVD is proposed in this paper to achieve the similar MSE performance with lower computational complexity. The simulation results show that by using the improved LMMSE algorithm, the time spending in calculation can be reduced to 70% compared with the conventional one when adopting 256 PN sequence in TDS-OFDM system over Rayleigh fading channels.
  • Keywords
    OFDM modulation; channel estimation; computational complexity; correlation methods; fast Fourier transforms; frequency-domain analysis; least mean squares methods; singular value decomposition; time-domain analysis; LMMSE algorithm; Rayleigh fading channel; TDS-OFDM system; channel autocorrelation matrix computation; computational complexity; fast Fourier transform; frequency domain; linear channel estimation algorithm; orthogonal frequency division multiplexing; singular value decomposition; time domain synchronous; Autocorrelation; Channel estimation; Computational complexity; Computational modeling; Fading; Fast Fourier transforms; Frequency domain analysis; Matrix decomposition; OFDM; Singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304623
  • Filename
    5304623