Application of Kalman Filtering and Wavelet Transform in DOAS

摘要：

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.

关键词： differential optical absorption spectroscopy Kalman filtering Wavelet transform

作者: Li SuWen Liu WenQing Xie PinHua Zhang YuJun

作者单位: Key Laboratory of Environmental Optical & Technology, Anhui Institute of Optics & Fine Mechanics,Chinese Academy of Sciences Hefei P. O. box 1125, Anhui, China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 748-753

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）