• DocumentCode
    379275
  • Title

    Performance of the LMS algorithm on the estimation of time-varying channels

  • Author

    Galdino, Juraci F. ; Pinto, Ernesto L. ; De Alencar, Marcelo S.

  • Author_Institution
    Instituto Militar de Engenharia, Rio de Janeiro, Brazil
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    94
  • Lastpage
    98
  • Abstract
    The performance of the least-mean-square (LMS) algorithm on the estimation of time-varying channels is analytically evaluated, using the estimation error correlation matrix and the mean square error (MSE) as parameters. Expressions for those parameters are obtained from a set of hypotheses usually adopted in the communication systems context. The channel is modeled as a wide sense stationary discrete time stochastic field with known autocorrelation. The expression for the steady state MSE is particularized assuming wide sense stationary-uncorrelated scattering (WSS-US) channel model. Several estimates of MSE curves obtained by computer simulation are compared with analytical results for validation purposes. A very good agreement between simulated and analytical results is shown
  • Keywords
    correlation methods; discrete time systems; estimation theory; least mean squares methods; matrix algebra; mobile radio; time-varying channels; LMS algorithm; MSE; WSS-US channel; autocorrelation; estimation error correlation matrix; least-mean-square algorithm; mean square error; mobile communications receivers; time-varying channels; wide sense stationary discrete time stochastic field; wide sense stationary-uncorrelated scattering channel; Algorithm design and analysis; Autocorrelation; Context; Estimation error; Least squares approximation; Mean square error methods; Performance analysis; Steady-state; Stochastic processes; Time-varying channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2002. ICC 2002. IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-7400-2
  • Type

    conf

  • DOI
    10.1109/ICC.2002.996824
  • Filename
    996824