• DocumentCode
    2365555
  • Title

    Low-complexity constrained LMMSE estimator for the sparse OFDM channels

  • Author

    Golovins, Eugene ; Ventura, Neco

  • fYear
    2007
  • fDate
    26-28 Sept. 2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this article the constrained linear minimum mean squared error (CLMMSE) algorithm is presented for the multipath channel response estimation in the OFDM systems using equispaced and equipowered pilot subcarriers. It relies on tracking of the channel correlation and signal-to-noise ratio and has a low computational complexity due to the transform-domain processing and no matrix inversions required. The proposed algorithm exhibits a substantial performance improvement for the sparse channels (9 dB in MSE and 1.4 dB in BER), whereas for channels with the dense impulse responses its accuracy is equivalent to the LMMSE scheme with the robust design parameters.
  • Keywords
    OFDM modulation; channel estimation; error statistics; least mean squares methods; multipath channels; BER; OFDM channels; computational complexity; constrained linear minimum mean squared error algorithm; low-complexity constrained LMMSE estimator; multipath channel response estimation; signal-to-noise ratio; Delay effects; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Least squares approximation; Multipath channels; OFDM; Polynomials; Quadrature amplitude modulation; Robustness; FFT; power-delay profile; sparse channel impulse response;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AFRICON 2007
  • Conference_Location
    Windhoek
  • Print_ISBN
    978-1-4244-0987-7
  • Electronic_ISBN
    978-1-4244-0987-7
  • Type

    conf

  • DOI
    10.1109/AFRCON.2007.4401614
  • Filename
    4401614