摘要
针对差分光学吸收光谱(DOAS)技术中气体吸收结构的重叠问题,提出利用卡尔曼滤波进行光谱校正.卡尔曼滤波是一种递推式的现代滤波方法,它在吸收结构严重重叠的情况下,仍可得到很好的分析结果.文中简介了差分光学吸收光谱法,分析了卡尔曼滤波原理,并应用卡尔曼滤波对大气中SO2的差分光学吸收光谱进行了研究,同时探讨了大气中NO2和O3对SO2测量的影响.实验结果表明,该方法可有效地校正重叠,提高了DOAS系统的精度.
In order to overcome the overlapped absorption structures in differential optical absorption spectroscopy （ DOAS）, a method of spectrum correction based on Kalman filtering is developed. Kalman filtering, a modem recursive filtering, can correct disturbed spectrum signals even though the signals are strongly overlapped. This paper introduces DOAS in brief, analyzes the mechanism of Kalman filtering, Kalman filtering is applied to process the differential optical absorption spectrum of SO2 in the atmosphere, meanwhile, the influence of NO2 and O3 on SO2 is discussed in this paper. Experimental results indicate that the proposed method can effectively correct overlapping spectra and greatly improve the accuracy of DOAS system.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第10期113-116,122,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
国家863计划项目(2002AA641020)
中科院知识创新工程重要方向项目(KJCX2-SW-H08)
关键词
差分光学吸收光谱
卡尔曼滤波
校正
重叠
differential optical absorption spectroscopy
Kalman filtering
correction
overlapping
