On equalization with complex MLP network in the GSM environment

Author

Kantsila, A. ; Haverinen, T. ; Lehtokangas, M. ; Saarinen, J.

Author_Institution

Lab. of Digital & Comput. Syst., Tampere Univ. of Technol., Finland

fYear

2001

fDate

25-28 July 2001

Firstpage

2687

Abstract

Neural networks have been studied for channel equalization purposes with quite promising results. However, not a lot of published results are available for their performance in realistic mobile systems, such as GSM (Global System for Mobile communications). Therefore, we have studied the use of a complex-valued multilayer perceptron (MLP) network, trained with a complex backpropagation (BP) algorithm, for equalization purposes in the GSM environment. Performance comparisons are made with a conventional decision-feedback equalizer (DFE) in terms of bit error rates and computational complexity

Keywords

backpropagation; cellular radio; channel allocation; computational complexity; equalisers; multilayer perceptrons; performance evaluation; telecommunication computing; GSM environment; bit error rates; channel equalization; complex backpropagation algorithm; complex-valued multilayer perceptron network; computational complexity; decision-feedback equalizer; mobile systems; performance; Adaptive equalizers; Computational complexity; Decision feedback equalizers; Doppler shift; GSM; Intelligent networks; Intersymbol interference; Multilayer perceptrons; Neural networks; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.943648

Filename

943648