|
|
|
|
|
|
| Research on Middle Infrared Laser Heterodyne Remote Sensing
Technology Based on EC-QCL |
| SHEN Feng-jiao1, 3, TAN Tu2*, LU Jun1, ZHANG Sheng1, GAO Xiao-ming2, CHEN Wei-dong3 |
1. School of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, China
2. Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
3. Laboratoire de Physico-Chimie de l’Atmosphère, Université du Littoral Côte d’Opale, Dunkerque, 59140, France
|
|
|
|
|
Abstract The mid-infrared (MIR) laser heterodyne spectroscopy with high sensitivity and high spectral resolution is a remote sensing technique for detecting atmospheric trace gas’s column concentration and vertical concentration profile by using a narrow linewidth laser as a local oscillator (LO) and amplifying the weak absorption signal. This paper proposes a new instrument structure based on the current laser heterodyne radiometer (LHR). A direct absorption spectrum system was introduced in the laser heterodyne system to realize the selection of working wavelength and frequency calibration. A compact IR blackbody source EMIRS200 was used as the broadband radiation source to replace sunlight and verify and analyze the laser heterodyne system. It provides a new method for the next system integration of LHR. A MIR-wide tuning LHR proof-of-concept (PoC) system was developed, and the basic parameters of the system were tested and analyzed. The system used an 8μm external cavity quantum cascade laser (EC-QCL) as the LO and an IR blackbody source, EMIRS200, as the radiation source. After testing and analyzing the basic parameters of the system, the signal-to-noise ratio (SNR) (~120) and heterodyne conversion efficiency (~0.006) of the system were measured. The stability time of EC-QCL measured was at least 133s using Allan variance analysis, so it is very suitable for laser heterodyne spectrum acquisition. The limit of detection (LoD) of the 1σ minimum volume fraction of the direct absorption spectrum system was 2.312×10-8, which can meet the requirements of highly sensitive detection of atmospheric CH4 and realize the selection of working wavelength and frequency calibration of the heterodyne system. Finally, the high-resolution heterodyne absorption spectrum of CH4 at 8 μm was obtained by using the established LHR PoC system and compared with the direct absorption spectra of CH4 at 8 μm. Finally, the spectral resolution parameters of the system were fitted, and the high spectral resolution of the LHR PoC system was verified, which can satisfy the high-resolution laser heterodyne spectrum measurement under the condition of narrow laser linewidth. Experimental results show that the direct absorption spectrum system can be used to select working wavelength and calibrate the frequency of the laser heterodyne system. The compact IR blackbody source EMIRS200 can be used to optimize the structure of LHR to realize the analysis and verification of the laser heterodyne system, which provides an experimental basis for further application in the measurement of multi-component gas spectrum in the actual atmosphere and expands the application of LHR in the field of high-precision remote sensing.
|
|
Received: 2022-01-14
Accepted: 2022-05-16
|
|
|
|
Corresponding Authors:
TAN Tu
E-mail: tantu@aiofm.ac.cn
|
|
[1] Shen F, Wang G, Xue G, et al. Remote Sensing, 2022, 14: 2923.
[2] Wang J, Wang G, Tan T, et al. Optics Express, 2019, 27: 9610.
[3] Menzies R T, Chahine M T. Applied Optics, 1974, 13: 2840.
[4] Frerking M A, Muehlner D J. Applied Optics, 1977, 16: 526.
[5] WANG Jing-jing, TAN Tu, WANG Gui-shi, et al(王晶晶, 谈 图, 王贵师, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2021, 41(2): 354.
[6] Sornig M, Livengood T, Sonnabend G, et al. Planetary and Space Science，2008, 56：1399.
[7] Rodin A, Churbanov D, Zenevich S, et al. Atmospheric Measurement Techniques, 2020, 13: 2299.
[8] Deng H, Yang C, Wang W, et al. Infrared Physics and Technology, 2019, 101: 39.
[9] Melroy H R, Wilson E L, Clarke G B, et al. Applied Physics B, 2015, 120(4): 609.
[10] Tsai T R, Rose R A, Weidmann D, et al. Applied Optics, 2012, 51: 8779.
[11] Menzies R T, Shumate M S. Science, 1974, 184: 570.
[12] Menzies R T. Applied Optics, 1976, 15: 2597.
[13] Menzies R T, Seals R K. Science，1977, 197: 1275.
[14] Levine J S, Augustsson T R, Hoell J M. Geophysical Research Letters, 1980, 7(5): 317.
[15] Weidmann D, Tsai T, Macleod N A, et al. Optics Letters, 2011, 36: 1951.
[16] Weidmann D, Courtois D. Applied Optics, 2003, 42(6): 1115.
[17] Ren Y, Hovenier J N, Higgins R, et al. Applied Physics Letters, 2010, 97: 161105.
[18] Darvish S R, Slivken S, Evans A, et al. Applied Physics Letters, 2006, 88: 201114.
[19] Shen F, Akil J, Wang G, et al. Journal of Quantitative Spectroscopy and Radiative Transfer, 2018, 221: 1.
[20] Shen F, Wang G, Wang J, et al. Optics Letters, 2021, 46: 3171.
[21] Parvitte B, Zeninari V, Thiebeaux C, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2004, 60(5): 1193.
|
| [1] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
| [2] |
DUAN Ming-xuan1, LI Shi-chun1, 2*, LIU Jia-hui1, WANG Yi1, XIN Wen-hui1, 2, HUA Deng-xin1, 2*, GAO Fei1, 2. Detection of Benzene Concentration by Mid-Infrared Differential
Absorption Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3351-3359. |
| [3] |
LIU Bo-yang1, GAO An-ping1*, YANG Jian1, GAO Yong-liang1, BAI Peng1, Teri-gele1, MA Li-jun1, ZHAO San-jun1, LI Xue-jing1, ZHANG Hui-ping1, KANG Jun-wei1, LI Hui1, WANG Hui1, YANG Si2, LI Chen-xi2, LIU Rong2. Research on Non-Targeted Abnormal Milk Identification Method Based on Mid-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3009-3014. |
| [4] |
WANG Chun-hui1, 2, YANG Na-na2, 3, FANG Bo2, WEI Na-na2, ZHAO Wei-xiong2*, ZHANG Wei-jun1, 2. Frequency Locking Technology of Mid-Infrared Quantum Cascade Laser Based on Molecule Absorption[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2363-2368. |
| [5] |
LIU Si-qi1, FENG Guo-hong1*, TANG Jie2, REN Jia-qi1. Research on Identification of Wood Species by Mid-Infrared Spectroscopy Based on CA-SDP-DenseNet[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 814-822. |
| [6] |
YANG Cheng-en1, SU Ling2, FENG Wei-zhi1, ZHOU Jian-yu1, WU Hai-wei1*, YUAN Yue-ming1, WANG Qi2*. Identification of Pleurotus Ostreatus From Different Producing Areas Based on Mid-Infrared Spectroscopy and Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 577-582. |
| [7] |
LI Xiao1, CHEN Yong2, MEI Wu-jun3*, WU Xiao-hong2*, FENG Ya-jie1, WU Bin4. Classification of Tea Varieties Using Fuzzy Covariance Learning
Vector Quantization[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 638-643. |
| [8] |
FENG Hai-zhi1, LI Long1*, WANG Dong2, ZHANG Kai1, FENG Miao1, SONG Hai-jiang1, LI Rong1, HAN Ping2. Progress of the Application of MIR and NIR Spectroscopies in Quality
Testing of Minor Coarse Cereals[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 16-24. |
| [9] |
BAI Zi-jin1, PENG Jie1*, LUO De-fang1, CAI Hai-hui1, JI Wen-jun2, SHI Zhou3, LIU Wei-yang1, YIN Cai-yun1. A Mid-Infrared Spectral Inversion Model for Total Nitrogen Content of Farmland Soil in Southern Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2768-2773. |
| [10] |
YANG Cheng-en1, WU Hai-wei1*, YANG Yu2, SU Ling2, YUAN Yue-ming1, LIU Hao1, ZHANG Ai-wu3, SONG Zi-yang3. A Model for the Identification of Counterfeited and Adulterated Sika Deer Antler Cap Powder Based on Mid-Infrared Spectroscopy and Support
Vector Machines[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2359-2365. |
| [11] |
ZHANG Yan-ru1, 2, SHAO Peng-shuai1*. Study on the Effects of Planting Years of Vegetable Greenhouse on the
Cucumber Qualties Using Mid-IR Spectroscopoy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1816-1821. |
| [12] |
XIAO Shi-jie1, WANG Qiao-hua1, 2*, LI Chun-fang3, 4, DU Chao3, ZHOU Zeng-po4, LIANG Sheng-chao4, ZHANG Shu-jun3*. Nondestructive Testing and Grading of Milk Quality Based on Fourier Transform Mid-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1243-1249. |
| [13] |
ZHOU Jun1, 2, YANG Yang2, YAO Yao2, LI Zi-wen3, WANG Jian3, HOU Chang-jun1*. Application of Mid-Infrared Spectroscopy in the Analysis of Key Indexes of Strong Flavour Chinese Spirits Base Liquor[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 764-768. |
| [14] |
CHEN Feng-xia1, YANG Tian-wei2, LI Jie-qing1, LIU Hong-gao3, FAN Mao-pan1*, WANG Yuan-zhong4*. Identification of Boletus Species Based on Discriminant Analysis of Partial Least Squares and Random Forest Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 549-554. |
| [15] |
XIAO Shi-jie1, WANG Qiao-hua1, 2*, FAN Yi-kai3, LIU Rui3, RUAN Jian3, WEN Wan4, LI Ji-qi4, SHAO Huai-feng4, LIU Wei-hua5, ZHANG Shu-jun3*. Rapid Determination of αs1-Casein and κ-Casein in Milk Based on Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3688-3694. |
|
|
|
|
