Neurofuzzy Algorithm For Channel Equalization
José Ambrosio-Bastián, Mariko Nakano-Miyatake, Hector Manuel Perez-Meana · Telecommunications and Radio Engineering · 2001
In this paper a channel equalization method using a neurofuzzy algorithm is proposed, which is based on the SAM (Standard Additive Model) method, employed in Fuzzy Logic for functions approach by using a set of rules if-then. A comparison of the efficiency of the proposed algorithm with those existent, such as the transversal equaliser using LMS, RLS adaptation algorithms, as well as the decision feedback equalizer DFE, is made with similar conditions. The computer simulations show that proposed provides a better performance of in the reduction of the intersymbol interference (ISI) in comparison with traditional algorithms in nonlinear channels.