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
Main Article Content
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
Download data is not yet available.
Article Details
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
Issue
Section
Regular Papers
Authors who publish in this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
___________