Volume 47 Issue 1
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Li Yan, Li Sheng, Gao Minguang, Xu Liang, Li Xiangxian. Fourier interpolative sampling algorithm in Fourier transform infrared spectrometer[J]. Infrared and Laser Engineering, 2018, 47(1): 123001-0123001(6). doi: 10.3788/IRLA201847.0123001
Citation: Li Yan, Li Sheng, Gao Minguang, Xu Liang, Li Xiangxian. Fourier interpolative sampling algorithm in Fourier transform infrared spectrometer[J]. Infrared and Laser Engineering, 2018, 47(1): 123001-0123001(6). doi: 10.3788/IRLA201847.0123001

Fourier interpolative sampling algorithm in Fourier transform infrared spectrometer

doi: 10.3788/IRLA201847.0123001
  • Received Date: 2017-06-07
  • Rev Recd Date: 2017-08-12
  • Publish Date: 2018-01-25
  • In order to solve the problem of complex and time-consumption of reference signal zero crossings in the traditional Brault sampling method, a method based on Fourier interpolation technique was proposed to find the zero-crossing. Compared with other interpolation methods, the results showed that this method could ensure the accuracy of zero-crossing information and simplify the complexity of data processing. The linear fitting coefficient of zero-crossing information obtained was greater than 0.999. In the range of 2 100-2 200 cm-1, when the error of reference laser signal was small, the instrumental SNR obtained by the Fourier interpolation method was 1.03 times that obtained by the cubic spline interpolation method, and the result obtained by the linear interpolation method was consistent with Fourier interpolation method. When the error of reference laser signal was relatively large, the instrumental SNR obtained by the Fourier interpolation method was 1.05 times of the SNR obtained by the linear interpolation method.
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    [3] Li Yan, Gao Minguang, Xu Liang, et al. Based on trigger sampling method and phase correction of infrared spectrum measurement applications[J]. Spectroscopy and Spectral Analysis, 2015, 35(7):2054-2059. (in Chinese)
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Fourier interpolative sampling algorithm in Fourier transform infrared spectrometer

doi: 10.3788/IRLA201847.0123001
  • 1. Key Laboratory of Environmental Optics and Technology,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,China;
  • 2. University of Science and Technology of China,Hefei 230026,China

Abstract: In order to solve the problem of complex and time-consumption of reference signal zero crossings in the traditional Brault sampling method, a method based on Fourier interpolation technique was proposed to find the zero-crossing. Compared with other interpolation methods, the results showed that this method could ensure the accuracy of zero-crossing information and simplify the complexity of data processing. The linear fitting coefficient of zero-crossing information obtained was greater than 0.999. In the range of 2 100-2 200 cm-1, when the error of reference laser signal was small, the instrumental SNR obtained by the Fourier interpolation method was 1.03 times that obtained by the cubic spline interpolation method, and the result obtained by the linear interpolation method was consistent with Fourier interpolation method. When the error of reference laser signal was relatively large, the instrumental SNR obtained by the Fourier interpolation method was 1.05 times of the SNR obtained by the linear interpolation method.

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