Journal
OPTICS COMMUNICATIONS
Volume 463, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.optcom.2020.125363
Keywords
Asynchronous single channel sampling; Convolutional Neural Network; Modulation format identification; Single channel sampling; Two channel sampling
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Funding
- National Key Research and Development Program of China [2019YFB180066]
- National Natural Science Foundation of China [61671053, 61871030]
- Fundamental Research Funds for the Central Universities [FRF-TP-19-017A1]
- State Key Laboratory of Advanced Optical Communication Systems Networks, China
- Open Fund of IPOC (BUPT) [IPOC2018B009]
- Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services
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In this paper, an asynchronous single channel sampling (ASCS) based joint modulation format and baud rate identification (MF-BRI) method is proposed for M-QAM optical systems using Convolutional Neural Network (CNN), which significantly reduces the cost and complexity of monitoring system setup. Based on the three influencing factors of OSNR, CD and DGD, three sampling rates are analyzed to generate ASCS images to build the database. The simulation and experiment accuracy of MFI and MF-BRI is above 99.8%. We also discuss the differences between two-channel sampling (TCS) and single-channel sampling (SCS).
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