Affiliations: Laboratory for Automation and Computational Intelligence (LAMIC), Universidad Distrital FJC, Edificio Sabio Caldas, Piso Séptimo, Bogota DC, Colombia
Note: [] Corresponding author. Miguel A. Melgarejo, Laboratory for Automation and Computational Intelligence (LAMIC), Universidad Distrital FJC, Carrera 8a No. 40-72, Edificio Sabio Caldas, Piso Séptimo, Bogota DC, Colombia. Tel.: +57 14759481; E-mail: [email protected]
Abstract: This paper presents a proposal for channel equalization of non-linear time varying communication channels that uses strategies based on quasi type-2 fuzzy sets. Both triangular and trapezoidal quasi type-2 fuzzy equalizers are designed by means of an incremental design approach. A comparative experimental study among several fuzzy equalization architectures is carried out, showing that the equalizer based on trapezoidal quasi type-2 fuzzy sets exhibits the best performance for low and medium levels of uncertainty. The results of this work also suggest that high order fuzzy sets make the equalization process more robust to the variability of the communications channel.
Keywords: Type-2 fuzzy systems, type-2 fuzzy sets, TSK fuzzy systems, clustering, channel equalization, communication systems
