• Journal of Applied Optics
  • Vol. 43, Issue 5, 994 (2022)
Xinwei ZHANG1,1,1, Jun LI1,1,1,1,1,1,*, Dingbo ZHANG1,1,1, Ruijin YAN1,1,1..., Biao TIAN1,1,1, Guoshen DING1,1,1, Heyi YIN1,1,1, Tian MA1,1,1, Weifeng WANG1,1,1 and Xiaowei ZHAI1,1,1|Show fewer author(s)
Author Affiliations
  • 11College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an 710054, China
  • 12College of Environmental Science and Optoelectronics, University of Science and Technology of China, Hefei 230026, China
  • 13Jinchuang Technology Co.,Ltd., Changzhou 213149, China
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    DOI: 10.5768/JAO202243.0508001 Cite this Article
    Xinwei ZHANG, Jun LI, Dingbo ZHANG, Ruijin YAN, Biao TIAN, Guoshen DING, Heyi YIN, Tian MA, Weifeng WANG, Xiaowei ZHAI. Real-time positioning technology of train based on optical fiber coherent Rayleigh backscattering[J]. Journal of Applied Optics, 2022, 43(5): 994 Copy Citation Text show less

    Abstract

    With the rapid growth of railway mileage in China, the degree of heavy load of railway wagons continues to increase. An interference technology based on Rayleigh backscattering signal in optical fiber was proposed by using existing communication optical cables along railway lines. When the fiber vibrated slightly, the phase and refractive index of the fiber at disturbed position changed, which resulting in the Rayleigh backscattering light. By performing differential calculation on the Rayleigh signal curves before and after the operation, the location of the interference light intensity signal corresponded to the location of the disturbances was obtained. Based on this method, the recognition and positioning of railway vehicles were realized. By collecting and analyzing the time-domain and frequency-domain signal, the signal strength, train length, the number of carriages and other characteristics were extracted, and the model of railway vehicles were accurately recognized. Compared with traditional positioning technologies, this technology could realize long-distance monitoring, and the sensing fiber was buried underground on both sides of the railway, which was conducive to the concealment and protection of optical fiber. Experimental results show that the positioning error of the system is within ±10 m, and the detection of railway speed and position within 25 km can be realized.
    Xinwei ZHANG, Jun LI, Dingbo ZHANG, Ruijin YAN, Biao TIAN, Guoshen DING, Heyi YIN, Tian MA, Weifeng WANG, Xiaowei ZHAI. Real-time positioning technology of train based on optical fiber coherent Rayleigh backscattering[J]. Journal of Applied Optics, 2022, 43(5): 994
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