Sparse Identification for Nonlinear Optical communication systems

Mariia Sorokina, Stylianos Sygletos, Sergei Turitsyn
2017 2017 19th International Conference on Transparent Optical Networks (ICTON)  
We have developed a low complexity machine learning based nonlinear impairment equalization scheme and demonstrated its successful performance in SDM transmission links achieving compensation of both inter-and intra-channel Kerr-based nonlinear effects. The method operates in one sample per symbol and in one computational step. It is adaptive, i.e. it does not require a knowledge of system parameters, and it is scalable to different power levels and modulation formats. The method can be
more » ... forwardly expanded to multi-channel systems and to any other type of nonlinear impairment.
doi:10.1109/icton.2017.8024969 fatcat:4ykn323ebzaa3iknzg6dbwj7pe