Sampling Error Analysis of FTIR and Design of Low Noise Sampling System

In this paper, the sampling errors that can cause spectral noise of Fourier infrared spectrometer are introduced. The main reasons for the sampling errors are the position change of the interferometer moving mirror, the jitter in the motion process, the circuit delay and other random noise, etc. The Matlab is used to model and simulate, and the influence of these sampling errors on spectral noise is intuitively displayed. In order to reduce the sampling noise, an isochronous acquisition system through digital filter and oversampling is proposed. The sampling system does not require high precision for the driving structure of the moving mirror, and can reduce the time delay error caused by the analog filter circuit, simplify the structure and circuit design of the spectrometer, and improve the restoration quality of the infrared spectrum imaging.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/icspcc62635.2024.10770362
Citations
2
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.66
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Sampling Error Analysis of FTIR and Design of Low Noise Sampling System

Lulu Qian, Wei Han, Min Huang, Yan V. Sun et al.
2 citations
Advanced Algorithms and Applications
0.66
article

Sampling Error Analysis of FTIR and Design of Low Noise Sampling System

Lulu Qian, Wei Han, Min Huang, Yan V. Sun, Zhanchao Wang, Xiangning Lu
article en
2 citations

Abstract

In this paper, the sampling errors that can cause spectral noise of Fourier infrared spectrometer are introduced. The main reasons for the sampling errors are the position change of the interferometer moving mirror, the jitter in the motion process, the circuit delay and other random noise, etc. The Matlab is used to model and simulate, and the influence of these sampling errors on spectral noise is intuitively displayed. In order to reduce the sampling noise, an isochronous acquisition system through digital filter and oversampling is proposed. The sampling system does not require high precision for the driving structure of the moving mirror, and can reduce the time delay error caused by the analog filter circuit, simplify the structure and circuit design of the spectrometer, and improve the restoration quality of the infrared spectrum imaging.

Aerospace Information Research Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 27%
Advanced Algorithms and Applications
0.66
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Sampling Error Analysis of FTIR and Design of Low Noise Sampling System — Lulu Qian, Wei Han, et al. · (2024) | TGRS Research Map | TGRS