[1] |
吴金达, 卢瑾 . 基于广义回归神经网络的CO-OFDM系统非线性均衡[J]. 光学学报, 2018,38(9): 78-86.
|
|
WU J D , LU J . Nonlinear equalizer based on general regression neural network in coherent optical OFDM system[J]. Acta Optica Sinica, 2018,38(9): 78-86.
|
[2] |
LU C H , FENG K M . Reduction of high PAPR effect with FEC enhanced deep data clipping ratio in an optical OFDM system[C]// Proceedings of Conference on Lasers and Electro-Opticals Society. Piscataway:IEEE Press, 2007: 941-942.
|
[3] |
BULAKCI O , SCHUSTER M , BUNGE C A ,et al. Precoding based peak-to-average power ratio reduction for optical OFDM demonstrated on compatible single sideband modulation with direct detection[C]// Proceedings of 2008 National Fiber Optic Engineers Conference. Piscataway:IEEE Press, 2008: 1-3.
|
[4] |
KRONGOLD B S , TANG Y , SHIEH W . Fiber non-linearity mitigation by PAPR reduction in coherent optical OFDM systems via active constellation extension[C]// Proceedings of 2008 34th European Conference on Optical Communication. Piscataway:IEEE Press, 2008: 1-2.
|
[5] |
GIACOUMIDIS E . Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM[J]. Future Internet, 2019,11(1): 1-20.
|
[6] |
GIACOUMIDIS E . Blind non-linearity equalization by machine-learning-based clustering for single-and multichannel coherent optical OFDM[J]. Journal of Lightwave Technology, 2018,36(6): 721-727.
|
[7] |
IP E M , KAHN J M . Fiber impairment compensation using coherent detection and digital signal processing[J]. Journal of Lightwave Technology, 2010,28(4): 502-519.
|
[8] |
GAO G J , ZHANG J , GU W Y . Analytical evaluation of practical DBP-based intra-channel nonlinearity compensators[J]. IEEE Photonics Technology Letters, 2013,25(8): 717-720.
|
[9] |
CHUN-YEN C , . Sparse volterra nonlinear equalizer by employing pruning algorithm for high-speed PAM-4 850-nm VCSEL optical interconnect[C]// Proceedings of Optical Fiber Communication Conference. Piscataway:IEEE Press, 2019.
|
[10] |
JARAJREH M A . Artificial neural network nonlinear equalizer for coherent optical OFDM[J]. IEEE Photonics Technology Letters, 2015,27(4): 387-390.
|
[11] |
GIACOUMIDIS E , . Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization[C]// Proceedings of Process Optical Fiber Communication Conference. Piscataway:IEEE Press, 2019.
|
[12] |
AHMED G R . Nonlinear equalizer based on neural networks for PAM-4 signal transmission using DML[J]. IEEE Photonics Technology Letters, 2018,30(15): 1416-1419.
|
[13] |
VAQUERO F J , . Joint estimation of linear and non-linear signal-to-noise ratio based on neural networks[C]// Proceedings of Optical Fiber Communication Conference. Piscataway:IEEE Press, 2019.
|
[14] |
WANG D S , . Nonlinear decision boundary created by a machine learning-based classifier to mitigate nonlinear phase noise[C]// Proceedings of European Conference on Optical Communications.[S.l.:s.n]. 2015.
|
[15] |
NGUYEN T , MHATLI S , GIACOUMIDIS E ,et al. Fiber nonlinearity equalizer based on support vector classification for coherent optical OFDM[J]. IEEE Photonics Journal, 2016,8(2): 711-721.
|
[16] |
GIACOUMIDIS E . Reduction of nonlinear inter-subcarrier intermixing in coherent optical OFDM by a fast newton-based support vector machine nonlinear equalizer[J]. Journal of Lightwave Technology, 2017,35(12): 2391-2397.
|
[17] |
GIACOUMIDIS E . Unsupervised support vector machines for nonlinear blind equalization in CO-OFDM[J]. IEEE Photonics Technology Letters, 2018,30(12): 1091-1094.
|
[18] |
ZHANG K , FAN Y Y , et al . Fiber nonlinear noise-to-signal ratio estimation by machine learning[C]// Proceedings of Optical Fiber Communication Conference.[S.l.:s.n]. 2019.
|
[19] |
ZHANG J F . K-means-clustering-based fiber nonlinearity equalization techniques for 64-QAM coherent optical communication system[J]. Optics Express, 2017,25(22): 27570-27580.
|
[20] |
LU X Y , . Non-linear compensation of multi-CAP VLC system employing pre-distortion base on clustering of machine learning[C]// Proceedings of Optical Fiber Communication Conference.[S.l.:s.n]. 2018.
|
[21] |
CHUANG C Y , . Sparse volterra nonlinear equalizer by employing pruning algorithm for high-speed PAM-4 850-nm VCSEL optical interconnect[C]// Proceedings of Optical Fiber Communication Conference.[S.l.:s.n]. 2019.
|
[22] |
GIACOUMIDIS E , . Fiber nonlinear compensation using machine learning clustering[C]// Proceedings of International Conference on Recent Innovations in Engineering and Technology.[S.l.:s.n]. 2019.
|
[23] |
GIACOUMIDIS E , . Real-time machine learning based fiber-induced nonlinearity compensation in energy-efficient coherent optical networks[C]// Proceedings of European Conference on Optical Communications.[S.l.:s.n]. 2019.
|
[24] |
GIACOUMIDIS E . A blind nonlinearity compensator using DBSCAN clustering for coherent optical transmission systems[J]. Applied Sciences, 2019,9(20): 4398-4406.
|
[25] |
GAO Y L , ZIAD A . Reduced complexity nonlinearity compensation via principal component analysis and deep neural networks[C]// Proceedings of Optical Fiber Communication Conference.[S.l.:s.n]. 2019.
|
[26] |
CHUANG C Y , . Convolutional neural network based nonlinear classifier for 112-Gbps high speed optical link[C]// Proceedings of Optical Fiber Communication Conference.[S.l.:s.n]. 2018.
|
[27] |
LI P X , . 56 Gbit/s IM/DD PON based on 10G-class optical devices with 29 dB loss budget enabled by machine learning[C]// Proceedings of Optical Fiber Communication Conference.[S.l.:s.n]. 2018.
|
[28] |
SCHAEDLER M , . Subcarrier power loading for coherent optical OFDM optimized by machine learning[C]// Proceedings of Optical Fiber Communication Conference.[S.l.:s.n]. 2018.
|
[29] |
ZHANG S L . Field and lab experimental demonstration of nonlinear impairment conpensation using neural networks[J]. Nature Communications, 2019(10):3033.
|
[30] |
KOIKE-AKINO T , . Neural turbo equalization to mitigate fiber nonlinearity[C]// Proceedings of European Conference on Optical Communications.[S.l.:s.n. ], 2019.
|