Paper
23 January 2023 The noise suppression method of long-wave infrared Fourier spectrometer at various piecewise
Author Affiliations +
Proceedings Volume 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology; 1255726 (2023) https://doi.org/10.1117/12.2651980
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China
Abstract
Many industrial gases and aerosols have rich spectral characteristics in the long-wave infrared band, which can play an important role in gas detection and chemical protection. In this paper, the principle of Gaussian filtering and the establishment process of Gaussian operator are introduced, and a noise suppression method of long-wave infrared Fourier spectrometer at various piecewise is proposed. The amplitude of interference signal is mapped into noise estimation weight, and then the size and weight of Gaussian filter window are selected to realize adaptive Gaussian filtering of noise estimation weight. Compared with median filtering, mean filtering and single window Gaussian filtering, the experiment shows that the proposed algorithm can protect the spectral energy and suppress the influence of noise on the signal, and the filtering effect is obvious.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruilin Ding, Yaohang Hu, Shuai Wang, Zhixiong Yang, Lingzhi Wang, Mingyao Yuan, Huiqin Shu, and Zhenggang Lei "The noise suppression method of long-wave infrared Fourier spectrometer at various piecewise", Proc. SPIE 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology, 1255726 (23 January 2023); https://doi.org/10.1117/12.2651980
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KEYWORDS
Digital filtering

Gaussian filters

Signal to noise ratio

Electronic filtering

Infrared spectroscopy

Optical filters

Spectroscopy

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