太赫兹科学与电子信息学报2018，Vol.16Issue(1)：43-50,64,9.DOI:10.11805/TKYDA201801.0043
基于太赫兹反射谱提取光学参数不确定度分析
Uncertainty analysis of optical parameters extraction based on terahertz time-domain reflection spectroscopy
摘要
Abstract
In recent years, calculating the optical parameters of materials by using terahertz technology has become the key research in various fields. However, due to the disadvantages of the terahertz system and parameter extraction process, the accuracy of the optical parameters is far from ideal. To improve the accuracy, an overall uncertainty analysis for the Terahertz Time-Domain Reflection Spectroscopy(THz-TDS) is performed. Firstly, seven error sources of optical parameters(the refractive index and extinction coefficient) based on terahertz time-domain reflection spectroscopy are analyzed and then the models of uncertainty of refractive index and extinction coefficient are established, respectively. Secondly, the various error factors of refractive index and extinction coefficient of the polycrystalline glucose sample are analyzed. Their proportions in the combined uncertainty are estimated from 0.2 THz to 2.0 THz in order to assess their contributions to the uncertainty. The results show that the largest influence on the refractive index is the random error of sample thickness measurement with a proportion of 80%. The largest influence on the extinction coefficient is the transfer function approximation with a proportion of 99%. Finally, some suggestions for reducing the uncertainty of the refractive index and extinction coefficient are proposed such as using the self-reference method for extracting the optical parameters, using intelligent algorithm for optimizing sample thickness and optical parameters, and correcting the Fabry-Perot effect.关键词
太赫兹时域反射光谱/折射率/消光系数/测量不确定度/自参考算法Key words
Terahertz Time-Domain Reflection Spectroscopy/refractive index/extinction coefficient/measurement uncertainty/self-referenced method分类
信息技术与安全科学引用本文复制引用
解怡君,孙萍..基于太赫兹反射谱提取光学参数不确定度分析[J].太赫兹科学与电子信息学报,2018,16(1):43-50,64,9.基金项目
国家自然科学基金资助项目(61371055) （61371055）
