环境扰动下的OP-FTIR多组分同时定量分析算法

J4 ›› 2016, Vol. 33 ›› Issue (1): 93-97.

环境扰动下的OP-FTIR多组分同时定量分析算法

李大成,兰天鸽,崔方晓,雒静

1 中科院合肥物质科学研究院，安徽合肥 230031； 2 华东电子工程研究所，安徽合肥 230031

收稿日期:2015-07-28 修回日期:2015-08-31 出版日期:2016-01-28 发布日期:2016-01-06
通讯作者: 李大成（1979—）安徽人，高级职称，主要从事红外测量技术研究。 E-mail:dcli@aiofm.ac.cn

Quantitative Analysis Algorithm for OP-FTIR Multi-component with the Existence of unknown Interferences

Received:2015-07-28 Revised:2015-08-31 Published:2016-01-28 Online:2016-01-06

摘要/Abstract

摘要：

在利用傅立叶变换红外光谱仪进行污染云团遥测时，往往会出现一些未知的干扰物质，这些干扰的存在使准确地多组分同时定量分析变的很困难。本文利用标准吸收截面光谱，结合矩阵投影运算及目标转换因子分析，可完成未知干扰光谱的检出，从而完成多个待测组份的同时定量分析测定。仿真六氟化硫（SF6）、甲醇和氨气（NH3）的混合物光谱，把NH3作为干扰，预测SF6和甲醇的浓度程长积值，预测结果和真实值有相当好的符合度。

关键词: 遥感监测 FTIR ；多元校正；干扰光谱；目标转换因子分析

Abstract:

It is difficult to accurately realize the multi-component quantitative analysis simultaneously, when applying FTIR into the remote sensing of cloud cluster because of the existence of some unknown interference materials. The new method put forward, which has combined the standard spectrum addition, matrix projection operation and target transformation factor analysis, could identify the unknown interference components and furthermore realize multi-component quantitative analysis simultaneously. The mixed spectrum of SF6, methanol and NH3 were simulated to predict the concentration of SF6 and methanol while NH3 was regarded as the interference component. The results and the real concentration path-length matched fairly well.

Key words: FTIR; multivariate calibration; interference spectrum; target transformation factor analysis

李大成兰天鸽崔方晓雒静. 环境扰动下的OP-FTIR多组分同时定量分析算法[J]. J4, 2016, 33(1): 93-97.

参考文献

[1]Zhang J, Zhen X B, Xun Y L.Passive Fourier Transform Infrared Spectroscopy Monitoring of Enviromental Pollution[J].SPIE[J], 1998, 3505:94-101 [2]Andreas Beil, Rainer Daum, Roland Harig, Gerhard Matz. Remote sensing of atmospheric pollution by passive FTIR spectrometry[J].Proceedings of SPIE[J], 1998, 3493:32-44 [3]黄中华，王俊德.傅里叶变换红外光谱在大气遥感监测中的应用[J].光谱学与光谱分析[J], 2002, 22(2):235-238 [4]. [5]Chaffin Ct, Marshall Nc, Chaffin Nc. Passive FTIR remote sensing of smokestack emissions[J].Field Anal Chem Technol[J], 1999, 3:111-116 [6]Flanigan, Dennis F. Hazardous cloud imaging: A new way of using passive infrared. [J].Applied Optics [J], 1997, 36(27):7027-7036 [7]Roland Harig, Gerhard Matz.Toxic Cloud Imaging by Infrared Spectrometry: A Scanning FTIR System for Identi?cation and Visualization[J].Field analytical Chemistry And Technology[J], 2001, 5(1-2):75-91 [8]高闽光, 刘文清, 张天舒, 刘诚, 刘建国,魏庆农 , 陆亦怀, 王亚萍, 朱军 , 徐亮.FTIR 被动遥测热烟羽中污染气体[J].光谱学与光谱分析[J], 2006, 26(1):47-50 [9]高闽光, 刘文清, 张天舒, 刘诚, 刘建国, 魏庆农, 陆亦怀, 王亚萍, 朱军, 徐亮.FTIR 被动遥测热烟羽中污染气体在大气遥感监测中的应用[J].光谱学与光谱分析[J], 2006, 26(1):47-50 [10]Chein-I Chang, Xiao-Li Zhao, Mark L.G.Alhouse, Jeng Jong Pan, Least Squares Subspace Projection Approach to Mixed Pixel Classification for Hyperspectral Images. [J].IEEE Transactions Geoscience And Remote Sensing[J], 1998, 36(3):898-912 [11]虞莉娟，熊伟，熊惠民.基于独立成分分析的被动红外光谱弱信号检测[J].激光与红外[J], 2008, 38(3):289-293 [12]. [13]Te-Ming Tu, Chin-Hsing Chen, Chein-I Chang.A Posteriori Least Squares Orthogonal Subspace Projection Approach to Desired Signature Extraction and Detection[J].IEEE Transactions Geoscience And Remote Sensing[J], 1997, 35(1):127-139 [14]吴瑾光.近代傅里叶变换红外光谱技术及应用[M]., 1994, :130-134 [15].