发表机构
Computational Sciences and Engineering Division, Oak Ridge National Laboratory（橡树岭国家实验室计算科学与工程部）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究已部署的架空-地埋光纤连接上光信号的偏振漂移，通过收集15公里光纤连接上1550-nm信号的偏振测量数据，提取FFT光谱特征与环境因素关联，用随机森林回归器依理论模型从环境测量估计FFT特征，揭示其昼夜及季节规律。
AI 中文摘要
在11个月的时间里，对15公里的混合架空-地埋光纤连接上的经典1550纳米信号进行偏振测量并分析。提取这些测量值的毫赫兹分辨率快速傅里叶变换（FFT）的光谱面积和光谱矩，并将其与温度、湿度、风速和一天中的时间相关联。光谱面积相关性显示出强烈的昼夜结构：白天最大值与温度/风速峰值和湿度下降对齐，夜间较低。这些昼夜模式也显示出季节性，夏季的平均值和方差高于冬季。使用随机森林回归器根据理论模型从环境测量中估计FFT特征。
英文摘要
Polarization measurements of a classical 1550-nm signal are collected and analyzed on 15-km hybrid aerial-inground fiber connections over 11 months. The spectral area and spectral moments of mHz-resolution Fast-Fourier-Transform (FFT) of these measurements are extracted, and related to temperature, humidity, wind speed, and time of day. Spectral area correlations show a strong diurnal structure: daytime maxima align with temperatures/wind speed peaks and humidity dips, with lower levels during the night. These diurnal patterns also show seasonality, with higher mean and variance in summer than winter. A random forest regressor is used to estimate FFT features from environmental measurements, informed by a theoretical model
Comments22 pages, 12 figures
