Signal-to-Noise Ratio Analysis of Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy
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.
Authors
- Jianying Sun
- Yinhui Tang (ORCID: https://orcid.org/0000-0002-1840-3276)
- Jia Si
- Weiyan Li (ORCID: https://orcid.org/0000-0002-1803-8088)
- Xinwen Chen (ORCID: https://orcid.org/0000-0002-4508-6253)
- Yangyang Liu (ORCID: https://orcid.org/0000-0002-7173-1121)
- Yu Zhang (ORCID: https://orcid.org/0009-0009-0912-5225)
- Jianwei Wang (ORCID: https://orcid.org/0000-0002-6094-376X)
- Na Zhao
- Zheng Tan (ORCID: https://orcid.org/0000-0002-3795-9210)
- Qunbo Lv
Institutions
- Chinese Academy of Sciences (CN)
- Aerospace Information Research Institute (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2024-11-02
- DOI
- https://doi.org/10.3390/app142110015
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00