Removing baseline and apodization in process of data retrieval of Doppler asymmetric spatial heterodyne spectrometer

Shuna Wang; Jiejing Chen

doi:10.1117/12.2511939

8 February 2019 Removing baseline and apodization in process of data retrieval of Doppler asymmetric spatial heterodyne spectrometer

Shuna Wang, Jiejing Chen

Author Affiliations +

Proceedings Volume 10843, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging; 108431Q (2019) https://doi.org/10.1117/12.2511939
Event: Ninth International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT2018), 2018, Chengdu, China

Abstract

Doppler asymmetric spatial heterodyne spectroscopy (DASH) realizes atmospheric wind field detection utilizing Doppler effect. In process of atmospheric wind velocity retrieval, the raw interferogram contains the low frequency baseline and the tempolabile background. And the truncation effect of spectrometer can bring in spiculate discontinuity on the edge of the range of the raw interferogram. These problems have impact on working out the phase information of the target spectral line accurately. Meanwhile, there are stray spectral lines and noise in the recovered spectrum, which make the phase of the interferogram change and the retrieved wind velocity mistake. Therefore, it is necessary to discuss the method ofremoving baseline and apodization in process of getting the phase information of the recovered spectrum in actual noisy environment. The results indicate that the optimizations of high-pass filtering method and least square fitting method are similar, while calculus of differences method is better than both of them in the aspect of removing baseline. As for the method of apodization, the overall performances of Hanning window, Hamming window and triangular window are better than other apodization functions and the optimizing effects are more stable. The inversion accuracy of algorithm is increased by 30% as the first-order differential filtering method is used to remove the low frequency baseline and the Hanning window is used to apodize.

Citation Download Citation

Shuna Wang and Jiejing Chen "Removing baseline and apodization in process of data retrieval of Doppler asymmetric spatial heterodyne spectrometer", Proc. SPIE 10843, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging, 108431Q (8 February 2019); https://doi.org/10.1117/12.2511939

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KEYWORDS

Apodization

Doppler effect

Spectroscopy

Heterodyning

Linear filtering

Signal to noise ratio

Atmospheric sensing

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