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
Link To Document :
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