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[ "孙咏梅(1971−),女,博士,北京邮电大学教授,主要研究方向为光网络技术、量子密钥分配技术与经典光网络技术的融合。" ]
[ "牛佳宁(1992−),女,北京邮电大学博士生,主要研究方向为量子密钥分配技术与经典光网络技术的融合。" ]
[ "纪越峰(1960−),男,博士,北京邮电大学教授,主要研究方向为宽带通信系统和网络技术。" ]
网络出版日期:2018-09,
纸质出版日期:2018-09-20
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孙咏梅, 牛佳宁, 纪越峰. 量子信号与经典光信号共纤传输中的噪声抑制技术[J]. 电信科学, 2018,34(9):37-47.
Yongmei SUN, Jianing NIU, Yuefeng JI. Noise suppression in the co-propagation of quantum signals and classical optical signals[J]. Telecommunications science, 2018, 34(9): 37-47.
孙咏梅, 牛佳宁, 纪越峰. 量子信号与经典光信号共纤传输中的噪声抑制技术[J]. 电信科学, 2018,34(9):37-47. DOI: 10.11959/j.issn.1000-0801.2018257.
Yongmei SUN, Jianing NIU, Yuefeng JI. Noise suppression in the co-propagation of quantum signals and classical optical signals[J]. Telecommunications science, 2018, 34(9): 37-47. DOI: 10.11959/j.issn.1000-0801.2018257.
目前基于光纤的点对点量子密钥分配所需的器件和系统技术正逐步成熟并呈现商业化应用趋势,因此如何将量子信号和经典光信号复用在一根光纤中以大幅提高系统容量和节约光纤资源成为学术界近年来关注的热点问题之一。主要研究了量子信号与经典光信号共纤传输中的噪声抑制问题,首先分析四波混频和拉曼散射这两种主要噪声因素对量子信道产生的影响;然后针对不同信道间隔和不同传输距离的应用场景分别提出了一种基于非等间隔波长分配的四波混频噪声抑制算法以及一种针对四波混频和拉曼散射进行联合优化的波长分配算法;最后采用仿真验证了所提算法的性能优越性,为未来不同应用场景下的量子信号与经典光信号共纤传输提供了良好的技术方案。
At present
the technologies of device and system required for the fiber-based point-to-point quantum key distribution (QKD) are gradually becoming mature and showing the trend of commercial application.Therefore
how to multiplex quantum signals and classical optical signals in a single fiber to greatly increase the capacity and save fiber resources has been becoming one of the hotspots of academia in recent years.The noise impairments in the co-propagation of quantum signals and classical optical signals over a single fiber were mainly studied.Firstly
the influences of the main noises
four-wave mixing (FWM) and Raman scattering on the quantum channels were analyzed.Next
an unequal-frequency-spacing-based FWM noise suppression algorithm and a wavelength assignment algorithm for joint suppression of FWM and Raman scattering were proposed for different application scenarios with different channel space and transmission distance.Finally
the superiorities of the proposed algorithms were verified through numerical simulations.The research results provide feasible noise suppression schemes for different application scenarios in the future.
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