| Инд. авторы: | Redyuk A., Averyanov E., Sidelnikov O., Fedoruk M., Turitsyn S. |
| Заглавие: | Compensation of Nonlinear Impairments Using Inverse Perturbation Theory With Reduced Complexity |
| Библ. ссылка: | Redyuk A., Averyanov E., Sidelnikov O., Fedoruk M., Turitsyn S. Compensation of Nonlinear Impairments Using Inverse Perturbation Theory With Reduced Complexity // Journal of Lightwave Technology. - 2020. - Vol.38. - Iss. 6. - P.1250-1257. - ISSN 0733-8724. |
| Внешние системы: | DOI: 10.1109/JLT.2020.2971768; РИНЦ: 43288167; SCOPUS: 2-s2.0-85082400294; WoS: 000522169400017; |
| Реферат: | eng: We propose a modification of the conventional perturbation-based approach of fiber nonlinearity compensation that enables straight-forward implementation at the receiver and meets feasible complexity requirements. We have developed a model based on perturbation analysis of an inverse Manakov problem, where we use the received signal as the initial condition and solve Manakov equations in the reversed direction, effectively implementing a perturbative digital backward propagation enhanced by machine learning techniques. To determine model coefficients we employ machine learning methods using a training set of transmitted symbols. The proposed approach allowed us to achieve 0.5 dB and 0.2 dB Q(2)-factor improvement for 2000 km transmission of 11 x 256 Gbit/s DP-16QAM signal compared to chromatic dispersion equalization and one step per span two samples per symbol digital back-propagation technique, respectively. We quantify the trade-off between performance and complexity.
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| Ключевые слова: | perturbation-based detection technique; optical communication system; nonlinear signal distortions; EQUALIZER; manakov equations; Fiber nonlinearity compensation; machine learning; SIGNAL; |
| Издано: | 2020 |
| Физ. характеристика: | с.1250-1257 |
