Fast identification algorithm of pollution gas by brightness
temperature spectrum of weak signal

Journal of Atmospheric and Environmental Optics ›› 2022, Vol. 17 ›› Issue (5): 542-549.

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Fast identification algorithm of pollution gas by brightness temperature spectrum of weak signal

WANG Jialin, XIONG Wei, LI Dacheng ∗ , WU Jun

Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China

Received:2021-01-12 Revised:2022-07-26 Online:2022-09-28 Published:2022-10-17
Contact: Cheng DaLI E-mail:dcli@aiofm.ac.cn

Abstract

Abstract: A new fast gas recognition algorithm was developed based on passive Fourier transform infrared spectrometer, and then the improved momentum gradient descent method was used to realize the fast fitting the measured brightness temperature spectra. This method does not need to measure the background spectrum in advance, and can directly subtract the background interference of atmospheric gas and sky from the measured spectrum. Besides extracting the composition and concentration of the pollutant gas, it can also obtain the concentration-path-length of the main gases in the atmosphere in real time. This method is suitable for the identification and analysis of the pollutant gas with weak signals in the low altitude background.

Key words: infrared spectrometer, remote sensing detection, atmospheric pollution, gas recognition

CLC Number:

P407.1

WANG Jialin, XIONG Wei, LI Dacheng ∗ , WU Jun. Fast identification algorithm of pollution gas by brightness temperature spectrum of weak signal[J]. Journal of Atmospheric and Environmental Optics, 2022, 17(5): 542-549.

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Fast identification algorithm of pollution gas by brightness temperature spectrum of weak signal

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