Fuzzy-Neuro Network in a CO-OFDM system: Various Membership Functions Comparison


Gurpreet Kaur
Department of ECE Indian Institute of Information Technology Una Himachal Pradesh, India
Gurmeet Kaur
Dept. of Electronics and Communication Engineering Punjabi University Patiala, India


Fuzzy-Neuro Network based nonlinear equalizer (FNN-NLE) has been used for the extenuation of nonlinearities in optical communication systems. Until now, many membership functions with resilient backpropagation activation function was used for making FNN-NLE in a coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems. Despite this, no research is reflecting the comparison of different membership functions (MFs). In this paper, various membership functions such as gaussian MF, gaussian combination MF, triangular MF, difference between two sigmoidal functions MF, pi shaped MF, generalized bell shaped MF, trapezoidal MF and product of two sigmoid functions MF has been compared. From this study, the maximum performance in terms of BER is achieved with gaussian membership function has been concluded.

September 22, 2021
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