Generalization Performance of Artificial Neural Network Based-Demodulator for Eigenvalue Modulated Signal

被引：0

作者：

Mishina, Ken ^{[1
]}

Hisano, Daisuke ^{[1
]}

Yoshida, Yuki ^{[2
]}

Maruta, Akihiro ^{[1
]}

机构：

[1] Osaka Univ, Grad Sch Engn, Suita, Osaka, Japan

[2] Natl Inst Informat & Commun Technol, Koganei, Tokyo, Japan

来源：

2020 OPTO-ELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC 2020) | 2020年

关键词：

optical fiber communications; optical eigenvalue modulation; machine learning; artificial neural network;

D O I：

10.1109/oecc48412.2020.9273734

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The generalization performance of an artificial neural network-based demodulator for an eigenvalue modulated signal is investigated. Successful demodulation for transmission distances from zero to 3,000 km and carrier frequency offset within 1 GHz is demonstrated.

引用

页数：3

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