• Study On Optical Communications
  • Vol. 49, Issue 1, 42 (2023)
Jun LIU, Bo-zhong LI*, Fang CHENG, Zi-fan LI..., Ying GUO, Yu-xiao SUN, Cun-xue DENG, Ru-yi ZHANG and Ying-xu WANG|Show fewer author(s)
Author Affiliations
  • State Grid Information and Telecommunication Branch, Beijing 100761, China
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    DOI: 10.13756/j.gtxyj.2023.01.004 Cite this Article
    Jun LIU, Bo-zhong LI, Fang CHENG, Zi-fan LI, Ying GUO, Yu-xiao SUN, Cun-xue DENG, Ru-yi ZHANG, Ying-xu WANG. Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network[J]. Study On Optical Communications, 2023, 49(1): 42 Copy Citation Text show less

    Abstract

    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.
    Jun LIU, Bo-zhong LI, Fang CHENG, Zi-fan LI, Ying GUO, Yu-xiao SUN, Cun-xue DENG, Ru-yi ZHANG, Ying-xu WANG. Optical Performance Monitoring Technology of IMDD System based on Deep Neural Network[J]. Study On Optical Communications, 2023, 49(1): 42
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