Polarization Demultiplexing and Optical Nonlinearity Compensation Based on Artificial Neural Networks and FIR Filters

Kurokawa, Yuichiro; Kyono, Takeru; Fukumoto, Yuta; Sumimoto, Noriki; Nakamura, Moriya

doi:10.23919/ps.2019.8817655

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2019

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“…In those studies, ANN-based nonlinear equalization has been performed on single-polarization signals or signals after a polarization demultiplexing process. In our study, we clarified that polarization demultiplexing can be performed using an ANN because an ANN includes butterfly operations [10]. We investigated novel methods using ANNs to perform polarization demultiplexing and nonlinear compensation at the same time.…”

Section: Introductionmentioning

confidence: 99%

Polarization demultiplexing and optical nonlinearity compensation based on artificial neural networks

et al. 2019

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We proposed and investigated novel methods for polarization demultiplexing using artificial neural networks (ANNs). It was shown that a three-layer ANN includes butterfly operations and has a polarization-demultiplexing capability. Our proposed cascaded construction of a butterflystructure of FIR filters and an ANN connecting x-and y-polarization components exhibited superior performance in terms of the polarizationdemultiplexing speed. By using the proposed method, optical nonlinearity can also be compensated for at the same time. We examined and compared the performance of the proposed methods by numerical simulations using 10-Gsymbol/s polarization multiplexed 16QAM optical signals.

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Section: Introductionmentioning

confidence: 99%