دورية أكاديمية
Optical Performance Monitoring Method Based on Fine-grained Constellation Diagram Recognition
| العنوان: | Optical Performance Monitoring Method Based on Fine-grained Constellation Diagram Recognition |
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| المؤلفون: | CHEN Jinjie, HE Chao, XIAO Xiao, LEI Yinjie |
| المصدر: | Jisuanji kexue, Vol 50, Iss 4, Pp 220-225 (2023) |
| بيانات النشر: | Editorial office of Computer Science, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Computer software LCC:Technology (General) |
| مصطلحات موضوعية: | machine learning, osnr monitoring, modulation format classification, fine-grained image recognition, residual neural network, Computer software, QA76.75-76.765, Technology (General), T1-995 |
| الوصف: | In optic fiber communication,traditional optical performance monitoring(OPM) mainly relies on analyzing the time-frequency domain information of the signal.However,conventional methods cannot complete multi-task joint monitoring,so they are less flexible.With the development of machine learning,the monitoring of optical signal modulation format(MF) and optical signal-to-noise ratio(OSNR) based on machine learning have been gradually applied.However,existing methods have low accuracy for OSNR monitoring in complex scenarios because they do not consider the fine-grained characteristics of the signal.This paper proposes a joint monitoring model(FGNet) for optical signal MF and OSNR based on fine-grained constellation identification to solve this problem.Firstly,the backbone feature extraction module uses a deep residual structure.Secondly,a multilayer bilinear pooling module is proposed to perform fine-grained feature analysis on constellation features.Finally,a joint MF and OSNR monitoring module is proposed to realize the feature fusion of MF and OSNR.Extensive experiments with 7 200 constellation maps in the simulation dataset show that the proposed model has achieved superior performance compared to existing methods. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | Chinese |
| تدمد: | 1002-137X |
| العلاقة: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-4-220.pdfTest; https://doaj.org/toc/1002-137XTest |
| DOI: | 10.11896/jsjkx.220600238 |
| الوصول الحر: | https://doaj.org/article/39cf8b2bfbf54a71b32388e47f27bfa0Test |
| رقم الانضمام: | edsdoj.39cf8b2bfbf54a71b32388e47f27bfa0 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 1002137X |
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| DOI: | 10.11896/jsjkx.220600238 |