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基于稳健回归M估计的差分吸收光谱反演方法(英文)
引用本文:麻金继,李素文.基于稳健回归M估计的差分吸收光谱反演方法(英文)[J].光子学报,2009,38(8).
作者姓名:麻金继  李素文
作者单位:1. 安徽师范大学,物理与电子信息学院,安徽,芜湖,241000;中国科学院安徽光学精密机械研究所,合肥,230031
2. 淮北煤炭师范学院,物理与电子信息学院,安徽,淮北,235000;中国科学院安徽光学精密机械研究所,合肥,230031
基金项目:National Natural Science Foundation of China,the Key Project of Chinese Ministry of Education,Anhui Provincial Natural Science Foundation,Foundation of Anhui Educational Committee 
摘    要:基于最小二乘回归,差分吸收光谱技术(DOAS)可以获得痕量气体的大气浓度.鉴于在复杂大气环境下,测量结果可能出现异常值以及误差的非正态分布,导致最小二乘回归估计偏差较大.针对这一情况,本文研究了利用稳健回归M估计来反演DOAS测量光谱数据的方法,讨论了估计过程和效果,并对正常谱和异常谱进行两者回归方法比较.研究结果表明基于稳健回归M估计方法收到了良好的效果,提高了回归可靠性.

关 键 词:稳健回归  M估计  最小二乘回归

Retrieving Method of Differential Optical Absorption Spectroscopy Based on M-estimator Robust Regression
MA Jin-ji,LI Su-wen.Retrieving Method of Differential Optical Absorption Spectroscopy Based on M-estimator Robust Regression[J].Acta Photonica Sinica,2009,38(8).
Authors:MA Jin-ji  LI Su-wen
Institution:1 College of Physics and Electronic Information;Anhui Normal University;Wuhu;Anhui 241000;China;2 College of Physics and Electronic Information;Huaibei Coal Industry Teachers College;Huaibei;Anhui 235000;China;3 Anhui Institute of Optics and Fine Mechanics;Chinese Academy of Sciences;Hefei 230031;China
Abstract:With differential optical Absorption spectroscopy(DOAS),trace gases in the atmosphere can be measured and its concentrations can be retrieved based on least squares regression.Under complicated atmospheric conditions,there are outliers and the error distribution is not normal in DOAS differential spectra,which resulted in misestimate of least-squares regression.The retrieving model of robust regression based on M-estimator was developed to evaluate concentrations of trace gases in DOAS system.The evaluation...
Keywords:DAOS  DOAS  Rrobust regression  M-estimator  Least squares regression
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