|
|
|
|
|
|
Study on High Speed Detection of Terahertz Spectrum Based on Michelson Interferometer |
CAO Can1, 2, ZHANG Zhao-hui1, 2*, ZHAO Xiao-yan1, 2, ZHANG Han2, 3, ZHANG Tian-yao1, 2, YU Yang1, 2 |
1. School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
2. Beijing Engineering Research Center of Industrial Spectrum Imaging, Beijing 100083, China
3. School of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China |
|
|
Abstract Terahertz spectroscopy, as the main method to obtain the information of substances in terahertz frequency band, has been widely used in the determination of substance composition, and it has a broader application prospect in the imaging of composition distribution, such as the detection of effective components of tablets and drugs, the detection of dangerous goods in baggage security inspection and so on. The current terahertz spectral detection methods, time-domain spectroscopy (THz-TDS) and frequency-domain spectroscopy (THz-FDS), can’t take account of both spectral resolution and scanning time well, and it often takes several seconds or even minutes (depending on the structure of the spectrometer) to obtain spectral data, which makes the multi-pixel imaging system appear to be overdone. The application of terahertz spectroscopic imaging is seriously restricted because of the delay and the inability to meet the speed requirement of video imaging. At present, terahertz imaging is mostly full-band intensity imaging, which can only reflect the spatial distribution information of the sample, but can’t reflect the spectral information of the sample. Therefore, it is very urgent to improve the detection rate of terahertz spectroscopy. The realization of high-speed detection can not only greatly reduce the time-consuming of spectroscopy experiment, but also provide the possibility to realize the terahertz spectroscopic composition distribution imaging. In this paper, a high-speed detection method of terahertz spectrum based on Michelson interferometer is proposed. On the basis of designing the structure of the device, the working process is analyzed theoretically, and the terahertz spectrum is calculated. Then, the aspects of data sampling, data processing and parameter selection are analyzed, and the results show that the method can significantly speed up the acquisition rate of THz spectra. Finally, the method is modeled and simulated, and the whole detection process is simulated. Taking the spectrum distribution of terahertz radiator as an example, the simulation results of this method are compared with the test results of time domain spectroscopy (THz-TDS). It is found that the spectrum curve measured by time domain spectroscopy (THz-TDS) can be approximately regarded as the envelope of the spectrum curve obtained by this high-speed spectral detection method. The results have strong consistency. This shows that the proposed method can detect the terahertz spectra of samples, and it can significantly accelerate the spectral formation rate compared with the time-domain spectroscopy (THz-TDS) on the premise of the same resolution. It provides a possibility for practical and high-throughput terahertz spectroscopy imaging.
|
Received: 2018-08-13
Accepted: 2018-12-21
|
|
Corresponding Authors:
ZHANG Zhao-hui
E-mail: zhangzhaohui@ustb.edu.cn
|
|
[1] Lu Tielin, Yuan Hui, Kong Linggin, et al. Chinese Physics B, 2016, 25(8): 80702.
[2] Tzibizov I A, Kaveev A K, Kropotov G I, et al. International Conference on Infrared, Millimeter, and Terahertz Waves. IEEE, 2013.
[3] Ibrahim A, Sharma G, Singh K, et al. Journal of Infrared Millimeter & Terahertz Waves, 2016, 37(9): 837.
[4] Lee L, Chen H, Chen S, et al. Applied Optics, 2012, 51(20): 4622. |
[1] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[2] |
ZHOU Bei-bei1, LI Heng-kai1*, LONG Bei-ping2. Variation Analysis of Spectral Characteristics of Reclaimed Vegetation in an Ionic Rare Earth Mining Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3946-3954. |
[3] |
WANG Zhen-ni1, KANG Zhi-wei1*, LIU Jin2, ZHANG Jie2. A Solar Spectral Doppler Redshift Velocity Measurement Method Based on Adaptive EMD-NDFT[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3475-3482. |
[4] |
TIAN Ze-qi1, WANG Zhi-yong1, YAO Jian-guo1, GUO Xu1, LI Hong-dou1, GUO Wen-mu1, SHI Zhi-xiang2, ZHAO Cun-liang1, LIU Bang-jun1*. Quantitative FTIR Characterization of Chemical Structures of Highly Metamorphic Coals in a Magma Contact Zone[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2747-2754. |
[5] |
YU Yang1, ZHANG Zhao-hui1, 2*, ZHAO Xiao-yan1, ZHANG Tian-yao1, LI Ying1, LI Xing-yue1, WU Xian-hao1. Effects of Concave Surface Morphology on the Terahertz Transmission Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2843-2848. |
[6] |
ZHANG Xiao-xu1, LIN Xiao-xian3, ZHANG Dan2, ZHANG Qi1, YIN Xue-feng2, YIN Jia-lu3, 4, ZHANG Wei-yue4, LI Yi-xuan1, WANG Dong-liang3, 4*, SUN Ya-nan1*. Study on the Analysis of the Relationship Between Functional Factors and Intestinal Flora in Freshly Stewed Bird's Nest Based on Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2452-2457. |
[7] |
WANG Yu-hao1, 2, LIU Jian-guo1, 2, XU Liang2*, DENG Ya-song2, SHEN Xian-chun2, SUN Yong-feng2, XU Han-yang2. Application of Principal Component Analysis in Processing of Time-Resolved Infrared Spectra of Greenhouse Gases[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2313-2318. |
[8] |
WANG Qiu, LI Bin, HAN Zhao-yang, ZHAN Chao-hui, LIAO Jun, LIU Yan-de*. Research on Anthracnose Grade of Camellia Oleifera Based on the Combined LIBS and Fourier Transform NIR Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1450-1458. |
[9] |
SU Ling1, 2, BU Ya-ping1, 2, LI Yuan-yuan2, WANG Qi1, 2*. Study on the Prediction Method of Pleurotus Ostreatus Protein and
Polysaccharide Content Based on Fourier Transform Infrared
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1262-1267. |
[10] |
ZHOU Ao1, 2, YUE Zheng-bo1, 2, LIU A-zuan1, 2, GAO Yi-jun3, WANG Shao-ping3, CHUAI Xin3, DENG Rui1, WANG Jin1, 2*. Spectral Analysis of Extracellular Polymers During Iron Dissimilar
Reduction by Salt-Tolerant Shewanella Aquimarina[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1320-1328. |
[11] |
FENG Yu, ZHANG Yun-hong*. Rapid ATR-FTIR Principal Component Analysis of Commercial Milk[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 838-841. |
[12] |
YUE Kong, LU Dong, SONG Xue-song. Influence of Thermal Modification on Poplar Strength Class by Fourier Infrared Spectroscopy Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 848-853. |
[13] |
ZHANG Yan1, 2, WANG Hui-le1, LIU Zhong2, ZHAO Hui-fang1, YU Ying-ying1, LI Jing1, TONG Xin1. Spectral Analysis of Liquefaction Residue From Corn Stalk Polyhydric
Alcohols Liquefaction at Ambient Pressure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 911-916. |
[14] |
CHU Zhi-hong1, 2, ZHANG Yi-zhu2, QU Qiu-hong3, ZHAO Jin-wu1, 2, HE Ming-xia1, 2*. Terahertz Spectral Imaging With High Spatial Resolution and High
Visibility[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 356-362. |
[15] |
WEI Jin-shan1, CHEN Zheng-guang1*, JIAO Feng2. Research on Land Classification Model Based on Fusion of Different
Convolution Scales and Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 460-467. |
|
|
|
|