A numerical method based on transfer function for removing the noise of water vapor from terahertz spectra

Yu Huang; Zheng Zhang; Chen Jin; Yijun Xie; Wenai Wang; Ping Sun

doi:10.1117/12.2245682

25 October 2016 A numerical method based on transfer function for removing the noise of water vapor from terahertz spectra

Yu Huang, Zheng Zhang, Chen Jin, Yijun Xie, Wenai Wang, Ping Sun

Author Affiliations +

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 1015713 (2016) https://doi.org/10.1117/12.2245682
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

The water vapor noise will affect the accuracy of the extracted optical parameters based on terahertz time domain spectroscopy technology. Because vapor noise has the characteristics of wide distribution and high intensity, the existing denoising methods cannot be effectively applied to the THz signal with vapor noise. In this paper, a numerical denoising method is presented. First, based on Van Vleck-Weisskopf lineshape function and the linear absorption spectrum of water molecules in the HITRAN database, we have simulated the water vapor absorption spectrum with line width, and the continuum effect of water vapor molecules are considered in the simulation. Then, the transfer function of different humidity is constructed by the calculation of the water vapor absorption coefficient and the real refractive index; Finally, based on the propagation factor formula of the mutual effects of THz wave and water vapor, the THz signal of the Lacidipine sample containing vapor noise in the continuous frequency domain of 0.3-1.8THz is denoised by using the constructed transfer function of the water vapor; the optical parameters of the sample signal before and after denoising can be extracted. It can be seen that the optical parameters extracted from the denoised signal are close to the optical parameters in the nitrogen environment, which proves the effectiveness of denoising. Under low humidity, this method can still accurately extract the optical parameters of samples without nitrogen filling, which saves the cost, enhances the convenience of the application of terahertz time domain spectroscopy in pharmaceutical production, safety inspection, imaging etc.

Citation Download Citation

Yu Huang, Zheng Zhang, Chen Jin, Yijun Xie, Wenai Wang, and Ping Sun "A numerical method based on transfer function for removing the noise of water vapor from terahertz spectra", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 1015713 (25 October 2016); https://doi.org/10.1117/12.2245682

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