Journal
PHOTONICS RESEARCH
Volume 9, Issue 1, Pages B1-B8Publisher
CHINESE LASER PRESS
DOI: 10.1364/PRJ.409114
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Funding
- National Natural Science Foundation of China [61775158, 61961136002, 61927811, U19A2076, 61705159, 61805168, 17174343, 11904157]
- Program for Guangdong Introducing Innovative and Enterpreneurial Teams
- Program for the Top Young Academic Leaders of High Learning Institutions of Shanxi
- National Cryptography Development Fund [MMJJ20170127]
- China Postdoctoral Science Foundation [2018M630283, 2019T120197]
- Natural Science Foundation of Shanxi Province [201901D211116]
- STCSM [SKLSFO2018-03]
- Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronautics and Astronautics), Ministry of Education [RIMP2019002]
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The study introduces a simple approach based on photonic reservoir computing for modulation format identification in optical fiber communications. This technique can efficiently identify different modulation formats with an accuracy of over 95% in various transmission situations by optimizing control parameters of the P-RC layer. By utilizing simple devices, this method offers a resource-efficient alternative for MFI.
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
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