大容量光纤中的数字非线性补偿 通信系统：性能和优化

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摘要翻译：
满足日益增长的信息速率要求已成为光通信系统的首要任务。然而，由于克尔效应的存在，这是一项具有挑战性的任务，在现代光通信中，克尔效应被认为是提高可实现信息速率的主要瓶颈。本文讨论了在频谱效率高的光纤通信系统中，为了最大限度地提高可达到的信息速率，数字非线性补偿的优化和性能。研究发现，对于给定的目标信息率，在调制格式和补偿带宽之间存在一个折衷关系，以降低数字非线性补偿的计算复杂度要求。
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英文标题：
《Digital Nonlinearity Compensation in High-Capacity Optical Fibre
  Communication Systems: Performance and Optimisation》
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作者：
Tianhua Xu, Nikita A. Shevchenko, Boris Karanov, Gabriele Liga,
  Domani\c{c} Lavery, Robert I. Killey, Polina Bayvel
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最新提交年份：
2017
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  Meeting the ever-growing information rate demands has become of utmost importance for optical communication systems. However, it has proven to be a challenging task due to the presence of Kerr effects, which have largely been regarded as a major bottleneck for enhancing the achievable information rates in modern optical communications. In this work, the optimisation and performance of digital nonlinearity compensation are discussed for maximising the achievable information rates in spectrally-efficient optical fibre communication systems. It is found that, for any given target information rate, there exists a trade-off between modulation format and compensated bandwidth to reduce the computational complexity requirement of digital nonlinearity compensation.
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PDF链接：
https://arxiv.org/pdf/1711.06546

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关键词：线性补偿 通信系统 非线性 Compensation Applications 数字 information 信息 研究 成为