journal article·2024-11-02Open access

Signal-to-Noise Ratio Analysis of Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy

Xinwen Chen, Zheng Tan, Jianwei Wang, Na Zhao, Yinhui Tang, Yangyang Liu, Jia Si, Yu Zhang, Jianying Sun, Weiyan Li, Qunbo Lv

Applied Sciences· Volume 14· Issue 21

Abstract

In Bandpass Sampling Fourier Transform Spectroscopy, a comprehensive method for evaluating signal-to-noise ratio (SNR) has not yet been established. This paper employs an energy conservation approach to analyze the relationship of SNR between interferogram and spectra in Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy (BPS-FTS). It systematically presents models for the average SNR of the system interferogram and the average SNR of reconstructed spectra under different parameters. These models are compared with SNR models in traditional Fourier transform spectroscopy (FTS) and are mutually validated through theoretical modeling and simulation analysis. It provides a theoretical basis and simulation verification for the design and implementation of the system.
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Research context

OpenAlex topics: Spectroscopy Techniques in Biomedical and Chemical Research · Spectroscopy and Laser Applications · Spectroscopy and Chemometric Analyses

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China

School of Optoelectronics, University of Chinese of Academy Sciences, No. 19 (A) Yuquan Road, Shijingshan District, Beijing 100049, China

Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China

Funding

National Key Research and Development Program of China

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