链路设计知识不完全情况下数字反向传播性能研究

R. Rath, W. Rosenkranz
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引用次数: 1

摘要

数字反向传播(DBP)被证明有潜力成为最有前途的光纤非线性补偿方法。然而,除了计算量大之外,DBP的性能还取决于对传输链路的了解,即链路的色散图及其功率分布。在这篇文章中,我们研究了在不完全链路设计知识的假设下DBP的性能,并讨论了它在光网络场景中的含义。
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On the performance of digital back-propagation for imperfect knowledge of link design
Digital back-propagation (DBP) was shown to have the potential to become the most promising method for compensation of fiber nonlinearities. However, apart from its high computational effort, the performance of DBP is dependent on the knowledge of the transmission link, i.e. the link's dispersion map as well as its power profile. In this contribution, we investigate the performance of DBP under the assumption of an imperfect link-design knowledge, and discuss its implications in an optical network scenario.
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