Volume 45 Issue 1
Feb.  2016
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Li Hong, Zhu Lianqing, Zhang Yumin, Liu Feng, Luo Fei, Huang Qiangxian. Demodulation method for FBG reflection spectrum based on linear array InGaAs scanning[J]. Infrared and Laser Engineering, 2016, 45(1): 122004-0122004(5). doi: 10.3788/IRLA201645.0122004
Citation: Li Hong, Zhu Lianqing, Zhang Yumin, Liu Feng, Luo Fei, Huang Qiangxian. Demodulation method for FBG reflection spectrum based on linear array InGaAs scanning[J]. Infrared and Laser Engineering, 2016, 45(1): 122004-0122004(5). doi: 10.3788/IRLA201645.0122004

Demodulation method for FBG reflection spectrum based on linear array InGaAs scanning

doi: 10.3788/IRLA201645.0122004
  • Received Date: 2015-05-10
  • Rev Recd Date: 2015-06-12
  • Publish Date: 2016-01-25
  • A demodulation system based on 256 pixels linear array InGaAs detector for fiber Bragg grating sensors was researched and realized. Based on the linear array InGaAs detector, the peak positioning principle of the fiber Bragg grating reflection spectrum was put forward. This multiple FBG spectrum parallel processing could be realized. The demodulation quantity of single channel depended on the bandwidth of the FBG sensor and the center wavelength drift range. Based on the spectral data of 256 pixels, Gaussian curve model for central wavelength was adopted. By setting the threshold value, the number of reflection spectrum peak was obtained, separately for each spectrum peak fitting. The demodulation technique was proved to be highly accurate and highly stable by the experiment results. The stability of peak searching algorithm reached 0.5 pm. The demodulation method has no mechanical moving parts, which realizes the parallel processing and quick response of the fiber Bragg grating center wavelength. The wavelength demodulation range is 1 525-1 570 nm. It provides a high-speed demodulation scheme for fiber Bragg grating sensing.
  • [1] Xu Mingming, Jiang Qingwu, Liu Wenqing, et al. An improved method for optical system design and optimization of double grating spectrometer[J]. Infrared and Laser Engineering, 2014, 43(1): 184-189. (in Chinese) 徐明明, 江庆五, 刘文清, 等。一种新型双光栅光谱仪光学系统设计与优化[J]. 红外与激光工程, 2014, 43(1): 184-189.
    [2] Jiang Desheng, He Wei. Review of applications for fiber Bragg grating sensors[J]. Journal of OptoelectronicsLaser, 2002, 13(4): 420-430. (in Chinese) 姜德生, 何伟。光纤光栅传感器的应用概况[J]. 光电子激光, 2002, 13(4): 420-430.
    [3] Chen Yong, Zhang Yulan, Liu Huanlin, et al. FBG sensing signal dealing with improved orthogonal subspace pursuit method[J]. Optik, 2015, 126: 3303-3309.
    [4] Ren Naikui, Xiong Yanling, Wu Mingze, et al. Simulation of FBG wavelength signal demodulation based on sideband filter[J]. Advanced Materials Research, 2014, 981: 412-416.
    [5] Zhang Zhili, Fu Zhulin, Zhao Bing, et al. FBG sensing technology application in detection of bastion safety[J]. Infrared and Laser Engineering, 2011, 40(3): 492-496. (in Chinese) 张志利, 付祝林, 赵兵, 等。光纤光栅传感技术在阵地安全监测中的应用[J]. 红外与激光工程, 2011, 40(3): 492-496.
    [6] Li Guoyu, Zhang Hao, Liu Bo. The interrogation system for FBG sensing based on the InGaAs linear image sensor[J]. Microwave and Optical Technology Letters, 2008, 50(4):1101-1104.
    [7] Jia Hua, Yang Jiankun, Li Xiujian. Minimum variance unbiased subpixel centroid estimation of point image limited by photon shot noise[J]. Journal of the Optical Society of America A, 2010, 27(9): 2038-2045.
    [8] Yan Lianshan, Yi Anlin, Pan Wei, et al. A simple demodulation method for FBG temperature Sensors using a narrow band wavelength tunable DFB laser[J]. Photonics Technology Letters IEEE, 2010, 22(18): 1391-1393.
    [9] Zhang Tiandi, He Fengtao, Zhou Qiang, et al. Research of peak-detection algorithm in fiber grating demodulation system[J]. Laser Technology, 2013, 37(1): 36-39. (in Chinese) 张天地, 贺锋涛, 周强, 等。光纤光栅解调系统的寻峰算法研究[J]. 激光技术, 2013, 37(1): 36-39.
    [10] Yin Chengqun, Wang Zishuo, He Yujun, et al. Simulation and experiment analysis of central wavelength detection algorithm for FBG reflection spectrum[J]. Infrared and Laser Engineering, 2011, 40(2): 322-327. (in Chinese) 尹成群, 王梓蒴, 何玉钧, 等。FBG反射谱中心波长检测算法仿真与实验分析[J]. 红外与激光工程, 2011, 40(2): 322-327.
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Demodulation method for FBG reflection spectrum based on linear array InGaAs scanning

doi: 10.3788/IRLA201645.0122004
  • 1. School of Instrument Science and Opto-electronics Engineering,Hefei University of Technology,Hefei 230009,China;
  • 2. Beijing Key Laboratory for Optoelectronics Measurement Technology,Beijing Engineering Research Center of Optoelectronic Information and Instruments,Beijing Information Science and Technology University,Beijing 100192,China

Abstract: A demodulation system based on 256 pixels linear array InGaAs detector for fiber Bragg grating sensors was researched and realized. Based on the linear array InGaAs detector, the peak positioning principle of the fiber Bragg grating reflection spectrum was put forward. This multiple FBG spectrum parallel processing could be realized. The demodulation quantity of single channel depended on the bandwidth of the FBG sensor and the center wavelength drift range. Based on the spectral data of 256 pixels, Gaussian curve model for central wavelength was adopted. By setting the threshold value, the number of reflection spectrum peak was obtained, separately for each spectrum peak fitting. The demodulation technique was proved to be highly accurate and highly stable by the experiment results. The stability of peak searching algorithm reached 0.5 pm. The demodulation method has no mechanical moving parts, which realizes the parallel processing and quick response of the fiber Bragg grating center wavelength. The wavelength demodulation range is 1 525-1 570 nm. It provides a high-speed demodulation scheme for fiber Bragg grating sensing.

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