Open Science Research Excellence
%0 Journal Article
%A Said Elkassimi and  Said Safi and  B. Manaut
%D 2015 
%J  International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 102, 2015
%T Study of Adaptive Filtering Algorithms and the Equalization of Radio Mobile Channel
%U http://waset.org/publications/10001732
%V 102
%X This paper presented a study of three algorithms, the
equalization algorithm to equalize the transmission channel with ZF
and MMSE criteria, application of channel Bran A, and adaptive
filtering algorithms LMS and RLS to estimate the parameters of the
equalizer filter, i.e. move to the channel estimation and therefore
reflect the temporal variations of the channel, and reduce the error in
the transmitted signal. So far the performance of the algorithm
equalizer with ZF and MMSE criteria both in the case without noise,
a comparison of performance of the LMS and RLS algorithm.

%P 554 - 559