Desempenho do Algoritimo LMS na Identificação de Canais Variantes no Tempo e seu Emprego em Esquemas de Recepção MJSE-PSP<br /> DOI: 10.14209/jcis.2003.17
Abstract
An analysis of the steady-state mean square error (MSE) performance of the Least Mean Square (LMS) algorithm in the identification of time-varying channels is presented. It is based on a set hypotheses usually adopted in the mobile communications context. The channel impulse response is modelled as time-varying transversal filter whose coefficients are wide-sense stationary stochastic processes with known power (Doppler) spectra. A generic expression of the steady state MSE as a function of the LMS step-size parameter is obtained. Two specific Doppler spectrum models are considered for which the optimization of the LMS step-size parameter in the sense of MSE minimization is also addressed. Close match between numerical and analytical results is shown in several examples. Besides, the impact of the LMS step-size parameter optimization on the performance of an adaptive MLSE (Maximum Likelihood Sequence Estimation) receiver is also addressed by Monte Carlo simulation.Downloads
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Published
2015-06-17
How to Cite
F. Galdino, J., L. Pinto, E., & S. de Alencar, M. (2015). Desempenho do Algoritimo LMS na Identificação de Canais Variantes no Tempo e seu Emprego em Esquemas de Recepção MJSE-PSP<br /> DOI: 10.14209/jcis.2003.17. Journal of Communication and Information Systems, 18(3). Retrieved from https://jcis.sbrt.org.br/jcis/article/view/264
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Regular Papers
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Received 2015-06-17
Accepted 2015-06-17
Published 2015-06-17
Accepted 2015-06-17
Published 2015-06-17