Acta Geodaetica et Cartographica Sinica ›› 2024, Vol. 53 ›› Issue (9): 1679-1693.doi: 10.11947/j.AGCS.2024.20230352

• Precision Engineering Survey • Previous Articles    

An innovative millimeter-level positioning method for multiple millimeter wave radar network in tunnel environment

Yinzhi ZHAO1,2(), Jingui ZOU1,2(), Xiaoxi ZHANG3, Ze WANG1, Xinzhe WANG1   

  1. 1.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
    2.Research Center for Intelligent Monitoring, School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
    3.China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, China
  • Received:2023-08-24 Published:2024-10-16
  • Contact: Jingui ZOU E-mail:yzhzhao@sgg.whu.edu.cn;jgzou@sgg.whu.edu.cn
  • About author:ZHAO Yinzhi (1992—), male, post doctor, majors in underground space positioning and deformation monitoring, high-precision intelligent monitoring and equipment development. E-mail: yzhzhao@sgg.whu.edu.cn
  • Supported by:
    The Natural Science Foundation of Hubei Province(2024AFB166);The National Natural Science Foundation of China(41871373);The Key Laboratory of Geospace Environment and Geodesy (Wuhan University), Ministry of Education(21-02-06)

Abstract:

With the arrival of the intelligent safety monitoring era, research on monitoring point positioning measurement in tunnels and mines is gradually developing towards all-time and all-weather aspects. In response to the problems of poor real-time performance and long measurement period in tunnel monitoring point positioning, as well as susceptibility to factors such as dust and lighting, this paper introduces millimeter wave radar with high distance and speed resolution to conduct high-precision positioning research for tunnel monitoring points. An innovative millimeter-level positioning method for tunnel environment based on multiple millimeter wave radars network is proposed. Firstly, based on the traditional fast Fourier transform to extract ranging information, a method is proposed to refine the frequency spectrum using chirp-Z transform. This method can optimize the ranging observations and ensure ranging accuracy at the millimeter level. Secondly, due to the drawback that traditional ranging radars can only obtain one-dimensional radial deformation, multiple millimeter radars network method is introduced. Further, a functional model for multi machine network positioning is established. In addition, a random model is proposed that takes into account the difference of each millimeter wave radar in radar pulse observation accuracy of each epoch and prior distance. Finally, the precision of ranging and positioning is verified through tunnel tests. The results show that, the phase difference method based on chirp-Z transform proposed in this manuscript can achieve ranging precision within 0.3 mm, and the computational efficiency of the algorithm is improved by 50 times compared to the existing method. When the target to be monitored is stable, the precision of X, Y and Z directions is 2.7 mm, 0.6 mm and 6.6 mm. However, the elevation direction precision is slightly lower due to the influence of tunnel height. In the case of micro movement of the target to be tested, this proposed method can detect small deformations. The method proposed in this manuscript meets the requirements of monitoring point real-time positioning in tunnel environment for all time, high accuracy, and long periods. Furthermore, it is expected to be applied in industrial structure deformation monitoring.

Key words: tunnel environment, millimeter-wave radar, millimeter-level positioning, structure deformation monitoring, chirp-Z transform

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