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Sparse Identification for Nonlinear Optical communication systems
2017
2017 19th International Conference on Transparent Optical Networks (ICTON)
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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
doi:10.1109/icton.2017.8024969
fatcat:4ykn323ebzaa3iknzg6dbwj7pe