Conference
Nonlinear neural network equalizer for metro optical fiber communication systems
Abstract
We present a neural network-based nonlinear electronic feed-forward equalizer. It compensates for the chromatic dispersion (CD) distortions in fiber optic communication systems with direct photo-detection. The proposed equalizer achieves bit error rate (BER) performance comparable to the maximum-likelihood sequence estimator (MLSE), with significantly lower computational cost. The complexity of the introduced equalizer scales linearly with the …
Authors
Maghrabi MMT; Kumar S; Bakr MH
Pagination
pp. 1-2
Publication Date
March 2018
DOI
10.23919/ROPACES.2018.8364214
Conference proceedings
2018 International Applied Computational Electromagnetics Society Symposium (ACES)