Equalization of Channel Distortion Using Nonlinear Neuro-Fuzzy Network

Authors:
Rahib H. Abiyev;Fakhreddin Mamedov;Tayseer Al-Shanableh
Affiliations:
Near East University, Department of Computer Engineering, Lefkosa, North Cyprus,;Near East University, Department of Electrical and Electronic Engineering, Lefkosa, North Cyprus,;Near East University, Department of Electrical and Electronic Engineering, Lefkosa, North Cyprus,
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Year:
2007

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Abstract

This paper presents the equalization of channel distortion by using a Nonlinear Neuro-Fuzzy Network (NNFN). The NFNN is constructed on the basis of fuzzy rules that incorporate nonlinear functions. The learning algorithm of NNFN is presented. The NFNN is applied for equalization of channel distortion of time-invariant and time-varying channels. The developed equalizer recovers the transmitted signal efficiently. The performance of NNFN based equalizer is compared with the performance of other nonlinear equalizers. The effectiveness of the proposed system is evaluated using simulation results of NNFN based equalization system.