IEICE Communications Express
Online ISSN : 2187-0136
ISSN-L : 2187-0136
Special Cluster in Conjunction with IEICE General Conference 2019
Polarization demultiplexing and optical nonlinearity compensation based on artificial neural networks
Yuichiro KurokawaTakeru KyonoYuta FukumotoNoriki SumimotoMoriya Nakamura
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2019 Volume 8 Issue 12 Pages 542-547


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 butterfly-structure of FIR filters and an ANN connecting x- and y-polarization components exhibited superior performance in terms of the polarization-demultiplexing 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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© 2019 The Institute of Electronics, Information and Communication Engineers
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