基于模板匹配的太赫兹光谱识别物质方法

针对混合物成分识别难题,采用太赫兹时域光谱技术获得物质的特征吸收光谱,研究0.1~7.0THz宽带太赫兹吸收光谱处理方法和特征光谱识别方法。先扣除空气环境中环境噪声、背景噪声和随温度变化的水蒸气吸收谱对待测物质造成的影响,获得用于识别的太赫兹吸收光谱;基于模板匹配、数值平滑、主吸收峰提取与识别和混合物成分判定等方法,建立混合物成分的太赫兹光谱提取分析模型;调用太赫兹光谱数据库,采用模板匹配和吸收峰峰值、面积比对的方法,依次判断识别扣除各样品的太赫兹吸收光谱。最后,依据算法模型完成混合火炸药的太赫兹特征光谱探测与识别。结果表明,所提方法可逐一分辨混合物成分,是一种可靠的太赫兹宽带光谱特性识别方法。

Template Matching-Based Method for Identifying Substances in Terahertz Spectrum

Aiming at the problem of mixture composition identification,terahertz time-domain spectroscopy is used to obtain the characteristic absorption spectrum of a substance,and the processing method of 0.1-7.0 THz wideband terahertz absorption spectrum and a method to identify its spectral characteristics are studied.First,we deduct the influence of the environmental noise,background noise,and water vapor absorption spectrum changing with temperature change on the measured substance in the are environment,and obtain the terahertz absorption spectrum for identification based on template matching,numerical smoothing,main absorption peak extraction and identification,followed by the determination of mixture components.We then establish a model for extracting and analyzing the terahertz spectra of the mixture components,refer to the terahertz spectrum database,use template matching,absorption peak to peak,and area comparison methods to sequentially determine and deduct the terahertz absorption spectra of each sample.Finally,based on the proposed algorithm model,the terahertz characteristic spectrum detection and identification of the mixed explosives are achieved.Results show that the proposed method can sequentially distinguish the components of the mixture,and is a reliable method to identify the terahertz broadband spectral characteristics for these components.