.png){kind=icon}
返回
Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing
.png){kind=icon}
OA
AI
DOI：10.1364/PRJ.409114.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a simple approach based on photonic reservoir computing (P-RC) for modulation format identification (MFI) in optical fiber communications. Here an optically injected semiconductor laser with self-delay feedback is trained with the representative features from the asynchronous amplitude histograms of modulation signals. Numerical simulations are conducted for three widely used modulation formats (on-off keying, differential phase-shift keying, and quadrature amplitude modulation) for various transmission situations where the optical signal-to-noise ratio varies from 12 to 26 dB, the chromatic dispersion varies from -500 to 500 ps/nm, and the differential group delay varies from 0 to 20 ps. Under these situations, final simulation results demonstrate that this technique can efficiently identify all those modulation formats with an accuracy of >95% after optimizing the control parameters of the P-RC layer such as the injection strength, feedback strength, bias current, and frequency detuning. The proposed technique utilizes very simple devices and thus offers a resource-efficient alternative approach to MFI. (C) 2020 Chinese Laser Press
Keyword:
SEMICONDUCTOR-LASER SUBJECT
DOUBLE OPTICAL FEEDBACK
NEURAL-NETWORK
PERFORMANCE
CHAOS
RECOGNITION
PREDICTION
期刊
IF:
7.2
论文数:
2.4K
被引数:
1.3W
机构
引用论文
分享收藏Modulation format identification in heterogeneous fiber-optic networks using artificial neural networks.png)
OPTICS EXPRESS
OAAI
OPTICS EXPRESSIF3.3
OAAI分享收藏Photonic machine learning implementation for signal recovery in optical communicationsSCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏Parallel photonic information processing at gigabyte per second data rates using transient statesNATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Laser dynamical reservoir computing with consistency: an approach of a chaos mask signalOPTICS EXPRESSOAAI
OPTICS EXPRESSIF3.3
OAAI分享收藏Prediction performance of reservoir computing system based on a semiconductor laser subject to double optical feedback and optical injectionOPTICS EXPRESSOAAI
OPTICS EXPRESSIF3.3
OAAI分享收藏
查看更多内容