Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network
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 long...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
《光通信研究》编辑部
2023-02-01
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| Series: | Guangtongxin yanjiu |
| Subjects: | |
| Online Access: | http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2023.01.004 |
| _version_ | 1827258937549783040 |
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| author | LIU Jun LI Bo-zhong CHENG Fang LI Zi-fan GUO Ying SUN Yu-xiao DENG Cun-xue ZHANG Ru-yi WANG Ying-xu |
| author_facet | LIU Jun LI Bo-zhong CHENG Fang LI Zi-fan GUO Ying SUN Yu-xiao DENG Cun-xue ZHANG Ru-yi WANG Ying-xu |
| author_sort | LIU Jun |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T19:13:51Z |
| format | Article |
| id | doaj.art-b756e0a455d04ff196852e70b2b31cc4 |
| institution | Directory Open Access Journal |
| issn | 1005-8788 |
| language | zho |
| last_indexed | 2025-03-22T02:18:38Z |
| publishDate | 2023-02-01 |
| publisher | 《光通信研究》编辑部 |
| record_format | Article |
| series | Guangtongxin yanjiu |
| spelling | doaj.art-b756e0a455d04ff196852e70b2b31cc42024-05-06T09:50:59Zzho《光通信研究》编辑部Guangtongxin yanjiu1005-87882023-02-01424633250439Optical Performance Monitoring Technology of IMDD System based on Deep Neural NetworkLIU JunLI Bo-zhongCHENG FangLI Zi-fanGUO YingSUN Yu-xiaoDENG Cun-xueZHANG Ru-yiWANG Ying-xuIn 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.http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2023.01.004DNN;OSNR;optical performance monitoring;IMDD |
| spellingShingle | LIU Jun LI Bo-zhong CHENG Fang LI Zi-fan GUO Ying SUN Yu-xiao DENG Cun-xue ZHANG Ru-yi WANG Ying-xu Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network Guangtongxin yanjiu DNN;OSNR;optical performance monitoring;IMDD |
| title | Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network |
| title_full | Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network |
| title_fullStr | Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network |
| title_full_unstemmed | Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network |
| title_short | Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network |
| title_sort | optical performance monitoring technology of imdd system based on deep neural network |
| topic | DNN;OSNR;optical performance monitoring;IMDD |
| url | http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2023.01.004 |
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