| Autor: |
LIU Jun, LI Bo-zhong, CHENG Fang, LI Zi-fan, GUO Ying, SUN Yu-xiao, DENG Cun-xue, ZHANG Ru-yi, WANG Ying-xu |
| Jazyk: |
čínština |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Guangtongxin yanjiu, Pp 42-46 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1005-8788 |
| DOI: |
10.13756/j.gtxyj.2023.01.004 |
| Popis: |
In advanced high-speed fiber optic communication systems, due to the introduction of dense wavelength division multiplexing technology, the signal spectral interval is getting narrower and narrower, and the traditional out-of-band Optical Signal-to-Noise Ratio (OSNR) monitoring technology is no longer accurate. Therefore, further study is required in the low-cost in-band OSNR monitoring scheme. A Deep Neural Network (DNN) link OSNR monitoring scheme for Intensity-Modulation and Direct Detection (IMDD) system is proposed. We used a 5-layer DNN trained from 550 000 datasets to successfully estimate the OSNR of the 2 GBaud On-Off Key (OOK) signal in the range of 5 to 15 dB, and the Mean Absolute Error (MAE) is less than 0.8 dB. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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