期刊
JOURNAL OF LIGHTWAVE TECHNOLOGY
卷 39, 期 17, 页码 5474-5485出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JLT.2021.3089872
关键词
Optical distortion; Nonlinear optics; Perturbation methods; Nonlinear distortion; Optical polarization; Optical fibers; Fiber nonlinear optics; Coherent detection; digital predistortion; fiber nonlinearity; optical communications; perturbation theory
资金
- Huawei Technologies Canada, through the Fiber Optic Communications Algorithms Laboratory (FOCAL) project
This paper investigates extending the first-order perturbation theory to second-order to improve the performance of nonlinear compensation in polarization-multiplexed optical fiber communication systems. Numerical simulations and complexity analysis show that the second-order perturbation theory provides better performance and lower computational complexity compared to the first-order perturbation theory in single-channel systems.
The first-order (FO) perturbation theory-based nonlinearity compensation (PB-NLC) technique has been widely investigated to combat the detrimental effects of the intra-channel Kerr nonlinearity in polarization-multiplexed (Pol-Mux) optical fiber communication systems. However, the NLC performance of the FO-PB-NLC technique is significantly limited in highly nonlinear regimes of the Pol-Mux long-haul optical transmission systems. In this paper, we extend the FO theory to second-order (SO) to improve the NLC performance. This technique is referred to as the SO-PB-NLC. A detailed theoretical analysis is performed to derive the SO perturbative field for a Pol-Mux optical transmission system. Following that, we investigate a few simplifying assumptions to reduce the implementation complexity of the SO-PB-NLC technique. The numerical simulations for a single-channel system show that the SO-PB-NLC technique provides an improved bit-error-rate performance and increases the transmission reach, in comparison with the FO-PB-NLC technique. The complexity analysis demonstrates that the proposed SO-PB-NLC technique has a reduced computational complexity when compared to the digital back-propagation with one step per span.
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