光谱学与光谱分析 |
|
|
|
|
|
Research on the Supersensitive Detecting Technology of Backward Raman Scattering Signal in Optic Fiber |
ZHANG Yue, ZHANG Ji-long, LI Xiao, WANG Zhi-bin, WANG Peng |
Key Laboratory of Instrumentation Science and Dynamic Measurement, Engineering Technology Research Center of Shanxi Province for Photoelectric Information and Instrument, North University of China, Taiyuan 030051, China |
|
|
Abstract Unlike the Brillouin scattering, the anti-Stokes Raman scattering in optic fiber is unrelated with the strain, but is only the function of the absolute temperature. The frequency shift caused by Raman scattering is about 13.95 Thz. So the Raman scattering is easier to be picked up than Brillouin scattering. It has certain advantage while being used as the signal of the distributed optic-fiber temperature sensor. But it is weaker than the Brillouin scattering, the peak photocurrent produced in APD is of the order of nA,near or even lower than the noise current of the APD. The N/S after being photo-electric transformed is usually lower than 1. The means of Fourier transform and wavelet transform is not effective in dealing with such kind of signal. Through analyzing the feature of the anti-Stokes Raman scattering signal and using the wavelet, the anti-Stokes Raman scattering signal after being cumulated & averaged was picked up. The supersensitive detecting below the “noise current” of the APD was carried out with the senstivity: 0.104 nA·K-1,lower than the “noise current” of the APD 2 classes.
|
Received: 2008-05-10
Accepted: 2008-08-20
|
|
Corresponding Authors:
ZHANG Yue
E-mail: cntyzy200@yahoo.com.cn
|
|
[1] LIU Wen-han, YANG Wei, ZHANG Da(刘文涵, 杨 未, 张 丹). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2008, 28(2): 343. [2] LI Nai-sheng, YANG Yi-min, HE-Nu, et al(李乃胜, 杨益民, 何 弩, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2008, 28(4): 946. [3] SUN Xiu-ping, FENG Ke-cheng, ZHANG Xi-he,G et al(孙秀平, 冯克成, 张喜和, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(10): 2049. [4] Sanjay Kher, Srikant G, Smita Chaube, et al. Current Science, 2002,83(11): 1363. [5] John S Selker, Luc Thevenaz, Hendrik Huwald, et al. Water Resources Research, 2006, 42(12): w12202. [6] Kher S, Gurram S, Saxena M K, et al. Current Science, 2004, 86(9): 1201. [7] ZHEN Xiao-jun(郑晓军). Electronics Quality(电子质量), 2007, 4: 14. [8] GENG Jun-ping, XU Jia-dong, LI Yan, et al(耿军平, 许家栋, 李 焱,等). Acta Photonica Sinica(光子学报), 2002, 31(10): 1261. [9]ZHU Jie(朱 洁). Journal of Zaozhuang University(枣庄学院学报), 2005, 22(5): 9. [10] Jurna M, Korterik J P, Otto C, et al. Optics Express, 2007, 15(23): 15207. [11] OUYANG Fang-ping, ZHOU Sheng-jun, KANG Hong-xiang(欧阳芳平, 周胜军, 康宏向). Laser Journal(激光杂志),2002,23(6):59. [12] GENG Jun-ping, XU Jia-dong, GUO Chen-jiang, et al(耿军平, 许家栋, 郭陈江, 等). Journal of Transducer Technology(传感器技术), 2001, 20(2): 4. [13] GENG Jun-ping, XU Jia-dong, WEI Gao, et al(耿军平, 许家栋, 韦 高, 等). Journal of Test and Measurement Technology(测试技术学报),2002,16(2):87. [14] HU Xiao-dong,HU Xiao-tang,LIU Wen-hui(胡晓东,胡小唐,刘文晖). Journal of Tianjin University(天津大学学报),1999,32(6):678.
|
[1] |
LI He1, WANG Yu2, FAN Kai2, MAO Yi-lin2, DING Shi-bo3, SONG Da-peng3, WANG Meng-qi3, DING Zhao-tang1*. Evaluation of Freezing Injury Degree of Tea Plant Based on Deep
Learning, Wavelet Transform and Visible Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 234-240. |
[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] |
LIU Wei1, 2, ZHANG Peng-yu1, 2, WU Na1, 2. The Spectroscopic Analysis of Corrosion Products on Gold-Painted Copper-Based Bodhisattva (Guanyin) in Half Lotus Position From National Museum of China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3832-3839. |
[4] |
LI Yong-qian1, 2, 3, FAN Hai-jun1, 2, 3*, ZHANG Li-xin1, 2, 3, WANG Lei1, 2, 3, WU Jia-qi1, 2, 3, ZHAO Xu1, 2, 3. Characteristics Research and Optimal Shaping of Brillouin Scattering Spectrum in Multimode Fiber[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3559-3564. |
[5] |
LAI Chun-hong*, ZHANG Zhi-jun, WEN Jing, ZENG Cheng, ZHANG Qi. Research Progress in Long-Range Detection of Surface-Enhanced Raman Scattering Signals[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2325-2332. |
[6] |
DU Zhi-heng1, 2, 3, HE Jian-feng1, 2, 3*, LI Wei-dong1, 2, 3, WANG Xue-yuan1, 2, 3, YE Zhi-xiang1, 2, 3, WANG Wen1, 2, 3. A New EDXRF Spectral Decomposition Method for Sharpening Error Wavelets[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1719-1724. |
[7] |
LI Jia-jia, XU Da-peng *, WANG Zi-xiong, ZHANG Tong. Research Progress on Enhancement Mechanism of Surface-Enhanced Raman Scattering of Nanomaterials[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1340-1350. |
[8] |
GAO Lu-yue1, SHEN Ling2, ZHANG Juan1*, ZHANG Hui1. Non-Destructive Analysis for Dyeing Process of Memorials From the Late Qing Dynasty[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1063-1067. |
[9] |
PAN Ke-yu1, 2, ZHU Ming-yao1, 2, WANG Yi-meng1, 2, XU Yang1, CHI Ming-bo1, 2*, WU Yi-hui1, 2*. Research on the Influence of Modulation Depth of Phase Sensitive
Detection on Stimulated Raman Signal Intensity and
Signal-to-Noise Ratio[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1068-1074. |
[10] |
SUN Zhi-ming1, LI Hui1, FENG Yi-bo1, GAO Yu-hang1, PEI Jia-huan1, CHANG Li1, LUO Yun-jing1, ZOU Ming-qiang2*, WANG Cong1*. Surface Charge Regulation of Single Sites Improves the Sensitivity of
Raman Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1075-1082. |
[11] |
SUN Wei-min1, CHEN Xu-dong1, YAN Qi1, 2*, GENG Tao1, YAN Yun-xiang1, 3, WANG Sheng-jia1, WANG An-zhi1, WANG Jia-bin1, JIN Xi-ren1, JIANG Hang1, WANG Xiu1, ZHAO Chuang1, ZHONG Yue4, LIANG Yu4, SONG Zhi-ming4, WANG Peng-fei1. Fiber Integral Field Unit System for Measurement of Solar Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1168-1174. |
[12] |
LI Wei1, 2, HE Yao1, 2, LIN Dong-yue2, DONG Rong-lu2*, YANG Liang-bao2*. Remove Background Peak of Substrate From SERS Signals of Hair Based on Gaussian Mixture Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 854-860. |
[13] |
YIN Xiong-yi1, SHI Yuan-bo1*, WANG Sheng-jun2, JIAO Xian-he2, KONG Xian-ming2. Quantitative Analysis of Polycyclic Aromatic Hydrocarbons by Raman Spectroscopy Based on ML-PCA-BP Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 861-866. |
[14] |
WANG Ren-jie1, 2, FENG Peng1*, YANG Xing3, AN Le3, HUANG Pan1, LUO Yan1, HE Peng1, TANG Bin1, 2*. A Denoising Algorithm for Ultraviolet-Visible Spectrum Based on
CEEMDAN and Dual-Tree Complex Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 976-983. |
[15] |
WAN Fu1, 2, GE Hu1, 2, LIU Qiang1, 2, KONG Wei-ping1, 2, WANG Jian-xin1, 2, CHEN Wei-gen1, 2. Research Progress and Trend of Gas Raman Sensing Enhancement Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3345-3354. |
|
|
|
|