Analytical performance of the LMS algorithm on the estimation of wide sense stationary channels

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, the mean-square weight error (MSWE) and the mean-square estimation error (MSE) as parameters. Expressions for those parameters...

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Veröffentlicht in:	IEEE transactions on communications 2004-06, Vol.52 (6), p.982-991
Hauptverfasser:	Galdino, J.F., Pinto, E.L., de Alencar, M.S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Autocorrelation Computer simulation Context Estimation error Least squares approximation Performance analysis Steady-state Stochastic processes Studies Time-varying channels
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