Application of Kalman Filtering and Wavelet Transform in DOAS

Author

SuWen, Li ; WenQing, Liu ; PinHua, Xie ; Yujun, Zhang

Author_Institution

Anhui Inst. of Optics & Fine Mech., Chinese Acad. of Sci., Beijing

fYear

2006

fDate

20-23 Aug. 2006

Firstpage

748

Lastpage

753

Abstract

Differential optical absorption spectroscopy (DOAS) has become a widely used method to measure trace gases in the atmosphere. Concentration of trace gases is retrieved by fitting reference spectra to the atmospheric absorption spectra. There were large errors in retrieved results, when absorption structures were heavily overlapped and the noises were high. The novel method of combining Wavelet transform and Kalman filtering was developed and applied to DOAS data processing. The experiment results show the method can effectively correct overlapped spectra and reduce the noise. The novel method improves the accuracy of the DOAS system

Keywords

Kalman filters; atmospheric composition; atmospheric spectra; atmospheric techniques; geophysical signal processing; spectroscopy; wavelet transforms; DOAS data processing; Kalman Filtering; atmosphere concentration; atmospheric absorption spectra; differential optical absorption spectroscopy; experiment results; trace gas measurement; wavelet transform; Absorption; Atmosphere; Atmospheric measurements; Atmospheric waves; Filtering; Gases; Kalman filters; Optical filters; Spectroscopy; Wavelet transforms; Kalman filtering; Wavelet transform; differential optical absorption spectroscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Acquisition, 2006 IEEE International Conference on

Conference_Location

Weihai

Print_ISBN

1-4244-0528-9

Electronic_ISBN

1-4244-0529-7

Type

conf

DOI

10.1109/ICIA.2006.305822

Filename

4097755