Channel equalization using quasi type-2 fuzzy strategies

Authors:
Miguel A. Melgarejo;Luis F. Albarracin
Affiliations:
Laboratory for Automation and Computational Intelligence LAMIC, Universidad Distrital FJC, Edificio Sabio Caldas, Piso Séptimo, Bogota DC, Colombia;Laboratory for Automation and Computational Intelligence LAMIC, Universidad Distrital FJC, Edificio Sabio Caldas, Piso Séptimo, Bogota DC, Colombia
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2013

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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.