Modulation Format Identification Method Based on Multi-Feature Input Hybrid Neural Network

Modulation Format Identification Method Based on Multi-Feature Input Hybrid Neural Network

A modulation format identification (MFI) method is proposed for high-speed optical fiber communication systems employing probabilistic shaping (PS) signals in polarization division multiplexing (PDM). The approach utilizes a multi-feature input hybrid neural network (MFHNN) incorporating constellati...

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Bibliographic Details
Main Authors: Zhiqi Huang, Xiangjun Xin, Qi Zhang, Haipeng Yao, Feng Tian, Fu Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Photonics Journal
Subjects:
High-speed optical fiber communication
modulation format identification (MFI)
multi-feature input hybrid neural network (MFHNN)
Online Access:https://ieeexplore.ieee.org/document/10551471/
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