Liu Huan, Fan Ya-Xian, Li Lin, Chen Hong-Ge, Wang Peng-Fei, Tao Zhi-Yong
Opt Express. 2018 Oct 15;26(21):27279-27293. doi: 10.1364/OE.26.027279.
Absorption lines of atmospheric vapor commonly appear in terahertz (THz) spectra measured in a humid air environment. However, these effects are generally undesirable because they may mask critical spectroscopic information. Here, a self-adaptive method is demonstrated for effectively identifying and eliminating atmospheric vapor noise from THz spectra of an all-fiber THz system with the Hilbert-Huang transform. The THz signal was decomposed into eight components in different time scales called the intrinsic mode functions and the interference of atmospheric vapor was accurately isolated. A series of experiments confirmed the effectiveness and strong self-adaptiveness of the proposed system in vapor noise elimination.
在潮湿空气环境中测量的太赫兹（THz）光谱中，大气水汽的吸收线通常会出现。然而，这些影响通常是不理想的，因为它们可能会掩盖关键的光谱信息。在此，展示了一种自适应方法，用于通过希尔伯特-黄变换有效地识别和消除全光纤太赫兹系统的太赫兹光谱中的大气水汽噪声。太赫兹信号被分解为八个不同时间尺度的分量，称为本征模函数，并且大气水汽的干扰被精确分离。一系列实验证实了所提出系统在消除水汽噪声方面的有效性和强大的自适应能力。
