Volume 21 Issue 5
Nov.  2021
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WANG Jian, ZHOU Zi-jian, JIANG Wei, CAI Bai-gen, PAN Pei-fen. High-precision real-time positioning method of train based on GPS/BDS combined solution[J]. Journal of Traffic and Transportation Engineering, 2021, 21(5): 286-296. doi: 10.19818/j.cnki.1671-1637.2021.05.024
Citation: WANG Jian, ZHOU Zi-jian, JIANG Wei, CAI Bai-gen, PAN Pei-fen. High-precision real-time positioning method of train based on GPS/BDS combined solution[J]. Journal of Traffic and Transportation Engineering, 2021, 21(5): 286-296. doi: 10.19818/j.cnki.1671-1637.2021.05.024
shu

High-precision real-time positioning method of train based on GPS/BDS combined solution

doi: 10.19818/j.cnki.1671-1637.2021.05.024
  • 1.

    School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  • 2.

    Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing Jiaotong University, Beijing 100044, China

  • 3.

    Institute of Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China

  • 4.

    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

Funds:

National Key Research and Development Program of China 2018YFB1201500

National Natural Science Foundation of China U1934222

National Natural Science Foundation of China 62027809

More Information
  • Author Bio:

    WANG Jian(1978-), male, professor, PhD, wangj@bjtu.edu.cn

  • Corresponding author: JIANG Wei(1988-), female, professor, PhD, weijiang@bjtu.edu.cn
  • Received Date: 2021-03-21
    Available Online: 2021-11-13
  • Publish Date: 2021-10-01
    Abstract
  • To establish the intelligent train control system, the rail application of global satellite navigation system (GNSS) was focused, and the researches on the positioning optimization method of train were pursued. Based on the real-time characteristics of broadcast ephemeris, the frame transformation model was used to provide real-time, accurate and unified spatio-temporal reference for the system. Combined with the error model, the errors related to positioning were corrected to reduce the complexity of positioning solution. In order to further optimize the positioning performance of the system and improve the positioning accuracy, a non-differential carrier-phase positioning method based on GPS/BDS multi-constellation combined solution was proposed. A simulation was carried out based on the actual data of Beijing-Shenyang High-Speed Railway, the signal geometric distributions and positioning errors of single constellation positioning method and multi-constellation positioning method were compared. To further verify the performance of the proposed positioning method, its positioning result was compared with that of the traditional pseudorange-based single point positioning (SPP) method based on the same group of data. Experimental results show that, during the test, the visible average satellite numbers of GPS and BDS single constellation positioning methods are 9.2 and 13.4, respectively, and the means of geometric dilution of precision (GDOP) are 2.341 7 and 2.272 1, respectively. The visible average satellite number of GPS/BDS multi-constellation positioning method is 22.5, and the mean of GDOP is 1.264 6. Hence, the multi-constellation positioning method can multiply the number of visible satellites and optimize the geometric distributions of satellite signals, which ensures the accurate and continuous positioning under the continuous variation of satellite signal. When the satellite signal is relatively stable, the root mean square errors (RMSEs) of the three-dimensional positioning are 5.396 1, 5.569 7, 2.831 2 and 0.976 1, 0.988 8, 0.861 8 m with respect to the SPP method and the proposed method, respectively. In signal limited area, the RMESs are 7.245 9, 7.056 3, 3.756 2 and 1.561 2, 1.603 1, 1.215 5 m, respectively. Therefore, compared with the traditional SPP method, the proposed method can achieve better positioning accuracy under different signal conditions. 5 tabs, 7 figs, 22 refs.

     

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