Chinese Journal of Quantum Electronics

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Error analysis and correction method of infrared interference signal sampling

LI Yakai1,2,3, XU Liang1,3, JIN Ling1,3, LI Sheng1,3, YE Shubin1,2,3, HU Rong1,2,3, LI Yan1,2,3, GAO Minguang1,3, LIU Jianguo1,3   

  1. 1 Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; 2 Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China; 3 Key Laboratory of Optical Monitoring Technology for Environment, Anhui Province,Hefei 230031, China
  • Published:2018-03-28 Online:2019-06-11

Abstract: Fourier transform infrared (FTIR) spectroscopy system uses He-Ne laser interference signal as a reference signal, but there is zero crossing sampling error. Based on the principle of light interference, a theoretical simulation model between FTIR spectroscopy sampling error and spectral ghost line position and intensity is established by Fourier transform. In order to reduce the sampling error, the cubic spline interpolation method is used to correct the zero crossing error, and intensity of the infrared optical interference signal is reconstructed by linear interpolation method. Results show that the model can be used as a theoretical basis for spectral error correction algorithm caused by sampling error. The cubic spline interpolation method can reduce the sampling error on reconstruction of He-Ne signal zero-crossing, and the error range is reduced by 93%. The linear interpolation method is applied to reconstruction of the infrared light intensity signal, which can improve the spectral signal to noise ratio, with an average increase of 5.7%.

Key words: Fourier optics, Fourier transform infrared spectrometer, Brault sampling method, sampling error analysis