• DocumentCode
    1149428
  • Title

    Doppler Spread Estimation by Tracking the Delay-Subspace for OFDM Systems in Doubly Selective Fading Channels

  • Author

    Zhao, Xiaochuan ; Peng, Tao ; Yang, Ming ; Wang, Wenbo

  • Author_Institution
    Minist. of Educ., Beijing Univ. of Posts & Telecommun., Beijing
  • Volume
    16
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    212
  • Lastpage
    215
  • Abstract
    In this letter, a novel maximum Doppler spread estimation algorithm is presented for OFDM systems with the comb-type pilot pattern in doubly selective fading channels. First, the least-squared estimated channel frequency responses on pilot tones are used to generate two auto-correlation matrices with different lags. Then, according to these two matrices, a Doppler dependent parameter is measured. Based on a time-varying multipath channel model, the parameter is expanded and then transformed into a nonlinear high-order polynomial equation, from which the maximum Doppler spread is readily solved by using the Newton´s method. The delay-subspace is utilized to reduce the noise that biases the estimator. Besides, the subspace tracking algorithm is adopted as well to automatically update the delay-subspace. Simulation results demonstrate that the proposed algorithm converges for a wide range of SNRs and Dopplers.
  • Keywords
    Newton method; OFDM modulation; delays; fading channels; spread spectrum communication; Doppler dependent parameter; Doppler spread estimation algorithm; Newton method; OFDM systems; delay-subspace; least-squared estimated channel frequency; nonlinear high-order polynomial equation; selective fading channels; time-varying multipath channel model; Autocorrelation; Delay estimation; Delay systems; Fading; Frequency estimation; Multipath channels; Newton method; Nonlinear equations; OFDM; Polynomials; Doppler spread; doubly selective fading channels; estimation; orthogonal frequency division multiplexing (OFDM); subspace tracking;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.2010812
  • Filename
    4776561