Wireless Fingerprint Positioning Method for Train in Earthquake Early Warning System of High Speed Railway

被引：0
|
作者：
Wang K. [1 ,2 ,3 ]
Zhang Q. [2 ,3 ]
Li H. [2 ,3 ]
Gao Y. [1 ,3 ]
Chen N. [1 ,2 ,3 ]
机构：
[1] Postgraduate Department, China Academy of Railway Sciences, Beijing
[2] Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing
[3] National Research Center of Railway Intelligence Transportation System Engineering Technology, Beijing
来源：
Zhongguo Tiedao Kexue/China Railway Science | 2018年 / 39卷 / 04期
关键词：
Earthquake early warning; Fingerprint positioning; GSM-R; High speed railway; K-nearest neighbor algorithm;
D O I：
10.3969/j.issn.1001-4632.2018.04.19
中图分类号：
学科分类号：
摘要：
In order to meet the demand for the real-time positioning of train in the earthquake early warning system of high speed railway, a wireless fingerprint positioning method for train was proposed. Firstly, G-series high-speed trains were used to collect information along the railway line, such as the received levels, timing advance of wireless communication system and kilometer posts. Based on the wireless propagation model, the timing advance was mapped to the propagation loss of radio waves, wireless fingerprints were generated and a database was established. Then, the signal space was dynamically divided according to the characteristics of train running path. The search range of wireless fingerprint was limited and a unified dimension similarity calculation model for wireless fingerprint was established. Finally, the weighted k-nearest neighbor algorithm was used to search for the wireless fingerprint matching with the train to be located in the wireless fingerprint database, and the location of the train was calculated. Testing equipment was installed on high-speed comprehensive inspection train to analyze the difference between the position obtained by wireless fingerprint positioning and the actual position of the train. Results show that the average positioning error of the train is 82 m, which can meet the demand of high-speed railway earthquake early warning system. © 2018, Editorial Department of China Railway Science. All right reserved.
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页码：131 / 138
页数：7
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