Polarization mode dispersion of installed fibers
Polarization mode dispersion of installed fibers
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DOI：
10.1109/jlt.2006.885781
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发表时间：
2006-12-01
影响因子：
4.7
通讯作者：
Tur, Moshe
中科院分区：
文献类型：
--
作者：
Brodsky, Misha;Frigo, Nicholas J.;Tur, Moshe
偏振模色散（PMD）是高速长距离光纤通信系统中的潜在限制性损伤，是指由于光学系统中的随机双折射而导致的传播光脉冲的失真。由于这些扰动（可能通过制造缺陷、布线应力、安装程序以及光纤和其他在线组件的环境敏感性引入）是不可知的且不断变化的，因此PMD在光学损伤中是独特的。这使得PMD既是一个迷人的研究课题，也是未来光电传输最具挑战性的技术障碍之一。缓解和补偿技术，适当的仿真，并准确预测PMD引起的中断概率严重依赖于安装的链路中PMD的统计数据的理解和建模。使用大量的数据埋在长途高速链路中使用的光纤，作者讨论的命题，即大多数的时间PMD的变化，观察到安装的路线主要是从一个相对较少的“热点”沿着暴露于周围环境的路线，而埋屏蔽部分保持基本稳定的一个月之久的时间周期。因此，任何给定信道的差分群延迟的时间变化构成了具有其自身的信道特定平均值的独特统计分布。这些观察中断统计的影响进行了分析，并讨论了未来的光电光纤传输的影响。
Polarization mode dispersion (PMD), a potentially limiting impairment in high-speed long-distance fiber-optic communication systems, refers to the distortion of propagating optical pulses due to random birefringences in an optical system. Because these perturbations (which can be introduced through manufacturing imperfections, cabling stresses, installation procedures, and environmental sensitivities of fiber and other in-line components) are unknowable and continually changing, PMD is unique among optical impairments. This makes PMD both a fascinating research subject and potentially one of the most challenging technical obstacles for future optoelectronic transmission. Mitigation and compensation techniques, proper emulation, and accurate prediction of PMD-induced outage probabilities critically depend on the understanding and modeling of the statistics of PMD in installed links. Using extensive data on buried fibers used in long-haul highspeed links, the authors discuss the proposition that most of the temporal PMD changes that are observed in installed routes arise primarily from a relatively small number of "hot spots" along the route that are exposed to the ambient environment, whereas the buried shielded sections remain largely stable for month-long time periods. It follows that the temporal variations of the differential group delay for any given channel constitute a distinct statistical distribution with its own channel-specific mean value. The impact of these observations on outage statistics is analyzed, and the implications for future optoelectronic fiber-based transmission are discussed.