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Feedforward Neural ...
Feedforward Neural Network-Based EVM Estimation : Impairment Tolerance in Coherent Optical Systems
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- Fan, Yuchuan (author)
- KTH,RISE,Industriella system,KTH Royal Institute of Technology, Sweden,Fotonik,RISE Research Institutes of Sweden,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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- Pang, Xiaodan, Dr. (author)
- RISE,Industriella system,KTH Royal Institute of Technology, Sweden,RISE Research Institutes of Sweden,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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- Udalcovs, Aleksejs (author)
- KTH,RISE,Fotonik,RISE Research Institutes of Sweden
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- Natalino, Carlos, Dr. 1987- (author)
- KTH,Kommunikationssystem, CoS,Chalmers tekniska högskola,Chalmers University of Technology
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- Zhang, Lu (author)
- KTH,Kommunikationssystem, CoS,Zhejiang Lab,Zhejiang University
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- Bobrovs, V. (author)
- Riga Technical University, Latvia
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- Schatz, Richard, 1963- (author)
- KTH,Fotonik,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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- Yu, X. (author)
- Zhejiang University, China; Zhejiang Lab, China,Zhejiang Lab
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- Furdek, Marija, 1985- (author)
- KTH,Kommunikationssystem, CoS,Chalmers tekniska högskola,Chalmers University of Technology
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- Popov, Sergei (author)
- KTH,Fotonik,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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- Ozolins, Oskars (author)
- KTH,RISE,Industriella system,KTH Royal Institute of Technology, Sweden; Riga Technical University, Latvia,Fotonik,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH),Riga Technical University,RISE Research Institutes of Sweden
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2022
- 2022
- English.
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In: IEEE Journal of Selected Topics in Quantum Electronics. - : Institute of Electrical and Electronics Engineers Inc.. - 1077-260X .- 1558-4542. ; 28:4
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Abstract
Subject headings
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- Error vector magnitude (EVM) is commonly used for evaluating the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques for EVM estimation extend the functionality of conventional optical performance monitoring (OPM). In this article, we evaluate the tolerance of our developed EVM estimation scheme against various impairments in coherent optical systems. In particular, we analyze the signal quality monitoring capabilities in the presence of residual in-phase/quadrature (IQ) imbalance, fiber nonlinearity, and laser phase noise. We use feedforward neural networks (FFNNs) to extract the EVM information from amplitude histograms of 100 symbols per IQ cluster signal sequence captured before carrier phase recovery. We perform simulations of the considered impairments, along with an experimental investigation of the impact of laser phase noise. To investigate the tolerance of the EVM estimation scheme to each impairment type, we compare the accuracy for three training methods: 1) training without impairment, 2) training one model for all impairments, and 3) training an independent model for each impairment. Results indicate a good generalization of the proposed EVM estimation scheme, thus providing a valuable reference for developing next-generation intelligent OPM systems.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- feedforward neural networks
- monitoring
- Optical communication
- optical fiber communication
- signal processing
- Deep learning
- Optical fibers
- Phase noise
- Quadrature amplitude modulation
- Signal receivers
- Error vector
- Estimation schemes
- Fiber-optics
- Laser noise
- Magnitude estimation
- Optical noise
- Optical-fiber communication
- Phase-noise
- Signal-processing
- Vector magnitude
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Fan, Yuchuan
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Pang, Xiaodan, D ...
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Udalcovs, Alekse ...
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Natalino, Carlos ...
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Zhang, Lu
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Bobrovs, V.
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Schatz, Richard, ...
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Yu, X.
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Furdek, Marija, ...
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Popov, Sergei
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Ozolins, Oskars
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RISE
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Royal Institute of Technology
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Chalmers University of Technology