Effects of blind channel equalization using the regressive accelerator algorithm version ɣ

Authors

  • Johanna Andrea Hurtado Sánchez Universidad del Cauca, Popayán
  • Pablo Emilio Jojoa Gómez Universidad del Cauca, Popayán

DOI:

https://doi.org/10.18046/syt.v16i46.3009

Keywords:

Blind equalization; adaptive algorithms; convergence speed; data estimation.

Abstract

We present a blind channel equalization scheme, applied to ɣ version regressive acceleration algorithm, which uses self-taught equalization techniques to study the characteristics of both, the second and the higher order moments for the transmitted signal, used to calculate the signal of error and thus, to make an optimal estimation of the transmitted symbols. This way, simulations of the obtained results are done in comparison with the algorithms based on the stochastic gradient and with the Bussgang algorithms. The results of that simulations show how, using the regressive acceleration algorithm version ɣ, a better detection of transmitted bits and higher convergence speeds are obtained, with a minimum mean square error.

Author Biographies

  • Johanna Andrea Hurtado Sánchez, Universidad del Cauca, Popayán

    Electronics and Telecommunications Engineer from the Universidad del Cauca (Popayan, Colombia), cursing a Master in Science (M.Sc.) in Electronics and Telecommunications Engineering in the same university. She is an assistant professor of the Telematics Department of the Electronics and Telecommunications Engineering Faculty. Her professional interest areas are digital signal processing and digital systems.

  • Pablo Emilio Jojoa Gómez, Universidad del Cauca, Popayán

    Electronics and Telecommunications Engineer from the Universidad del Cauca (Popayan, Colombia), with Master in Science (M.Sc.) and Doctorate (Ph.D.) in Electrics Engineering with emphasis in Electronic Systems from the Universidad de São Paulo. He is an associated professor of the Telecommunications Department in the Electronics and Telecommunications Engineering Faculty. He is also the coordinator of the research group in new telecommunication technologies [GNTT, Grupo de Nuevas Tecnologías en Telecomunicaciones]. His largest research interest area is the digital signal processing.

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Published

2018-06-27

Issue

Vol. 16 No. 46 (2018): July - September, 2018

Section

Original Research

License

This journal is licensed under the terms of the CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/legalcode).