Development of three margin data processing equipment based on virtual transponder

Home > Archive>Volume 44, Issue 11, 2021 >39-44

Development of three margin data processing equipment based on virtual transponder
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                        Ma YinhongMa Yinhong
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China
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Fan ZhengjiFan Zhengji
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China
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He XinHe Xin
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China
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Hong Yingping Zhang HuixinHong Yingping Zhang Huixin
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China
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Zhang HuixinZhang Huixin
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China
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Affiliation:Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China
Clc Number:TN919.34
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Abstract:

In order to solve the problem that the positioning system of subway relies heavily on the ground transponder, a using two-dimensional codes positioning method is proposed. Based on the high precision clock synchronization, a new data fusion algorithm was designed, the data demodulation circuit was fabricated, a high availability system with symmetric three backups was constructed, and the test method was verified. The experimental results show that the system can realize the autonomous positioning, start and stop of the train with the help of QR code, and display the train status in real time. The positioning accuracy can reach up to cm, and there is no need for the subsequent manual maintenance of the ground transponder, which saves a lot of costs. At the same time, it provides a reliable solution for the test of automatic train driving.

Key words:self-localization; data fusion algorithm; three margin; data processing; virtual transponder

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Online: September 18,2024
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