基于巴特沃斯滤波器的傅里叶变换红外光谱处理方法研究

doi:10.3969/j.issn.1007-5461.2021.06.005

量子电子学报 ›› 2021, Vol. 38 ›› Issue (6): 780-787.doi: 10.3969/j.issn.1007-5461.2021.06.005

• "激光光谱新技术与应用”专辑(续） • 上一篇下一篇

基于巴特沃斯滤波器的傅里叶变换红外光谱处理方法研究

李妍1,2∗ , 高闽光1,2 , 童晶晶1,2 , 李胜1,2 , 李相贤1,2 , 韩昕1,2 , 刘建国1,2

1 中国科学院合肥物质科学研究院安徽光学精密机械研究所, 中国科学院环境光学与技术重点实验室, 安徽合肥 230031; 2 国家环境保护环境光学监测技术重点实验室, 安徽合肥 230031

收稿日期:2020-06-11 修回日期:2021-01-15 出版日期:2021-11-28 发布日期:2021-11-28
通讯作者: E-mail: yli@aiofm.ac.cn E-mail: E-mail: yli@aiofm.ac.cn
作者简介:李妍 ( 1990 - ), 女, 甘肃天水人, 博士, 助理研究员, 主要从事用于大气环境监测的傅里叶变换红外光谱仪器相关技术方面的研究。 E-mail: yli@aiofm.ac.cn
基金资助:
Supported by National Key Research and Development Project (国家重点研发计划, 2018YFC0214100, 2017YFC0209900), National Natural Science Foundation of China (国家自然科学基金面上项目, 41775158)

Study on Fourier transform infrared spectrum processing method based on Butterworth filter

LI Yan 1,2∗ , GAO Minguang 1,2 , TONG Jingjing 1,2 , LI Sheng 1,2 , LI Xiangxian 1,2 , HAN Xin 1,2 , LIU Jianguo 1,2

1 Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China; 2 State Environmental Protection Key Laboratory of Optical Monitoring Technology, Hefei 230031, China

Received:2020-06-11 Revised:2021-01-15 Published:2021-11-28 Online:2021-11-28

摘要/Abstract

摘要： 针对傅里叶变换红外光谱仪因信号噪声干扰较大而导致仪器性能下降的问题, 提出了一种基于巴特沃斯带通滤波器的傅里叶变换红外光谱处理方法。首先对带通滤波电路的传递函数进行了理论推导, 随后结合光谱仪参数并经电路软件 Multisim 仿真确定电路元件的具体值, 并通过实验进一步优化直至满足设计要求指标, 最后将设计的带通滤波器用于光谱仪中, 对比分析了增加滤波板前后测量得到的仪器信噪比。实验结果表明: 基于巴特沃斯滤波器的红外光谱处理方法在 2100 ∼ 2200 cm−1和 2500 ∼ 2600 cm−1 波段得到的仪器信噪比分别为未加滤波器由传统处理方法得到的仪器信噪比的 1.83 倍和 1.96 倍。表明新处理方法有效提高了仪器信噪比, 改善了仪器的性能指标。

关键词: 光谱学, 傅里叶变换红外光谱, 巴特沃斯带通滤波器, 幅频特性, 信噪比

Abstract: To deal with the problem of large signal noise interference in traditional Fourier transform infrared spectrometer leading to the performance degradation of the instrument, a Fourier transform infrared spectroscopy processing method based on Butterworth band-pass filter is proposed. Firstly, the transfer function of the band-pass filter circuit was deduced theoretically. Then combined with the spectrometer parameters, the specific values of the circuit components were determined by simulation using circuit software Multisim, and further optimized through experiments until the design requirements were met. Finally, the designed band-pass filter was used in spectrometer, and the signal-to-noise ratio of the instrument measured before and after adding the filter board was compared and analyzed. The experimental results show that the instrument signal-to-noise ratio obtained by the infrared spectral processing method based on Butterworth filter in the band of 2100∼2200 cm−1 and 2500∼2600 cm−1 is 1.83 and 1.96 times of that obtained by the traditional processing method without filter, respectively. It is believed that the proposed method effectively improves the signal-to-noise ratio of the instrument and the performance index of the instrument.

Key words: spectroscopy, Fourier transform infrared spectroscopy, Butterworth bandpass filter; amplitude-frequency characteristic, signal to noise ratio

中图分类号:

李妍, ∗, 高闽光, 童晶晶, 李胜, 李相贤, 韩昕, 刘建国, . 基于巴特沃斯滤波器的傅里叶变换红外光谱处理方法研究[J]. 量子电子学报, 2021, 38(6): 780-787.

LI Yan , ∗ , GAO Minguang , , TONG Jingjing , , LI Sheng , , LI Xiangxian , , HAN Xin , , LIU Jianguo , . Study on Fourier transform infrared spectrum processing method based on Butterworth filter[J]. Chinese Journal of Quantum Electronics, 2021, 38(6): 780-787.

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基于巴特沃斯滤波器的傅里叶变换红外光谱处理方法研究

Study on Fourier transform infrared spectrum processing method based on Butterworth filter

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