Reliability Analysis of the Kalman Filter for INS/GPS Integrated Navigation System Applied to Train

被引:0
|
作者
Cho, Seong Yun [1 ]
Kang, Chang Ho [2 ]
Shin, Kyung Ho [3 ]
机构
[1] Kyungil Univ, Dept Robot Engn, Gyongsan, South Korea
[2] Korea Univ, Res Inst Engn & Technol, Seoul, South Korea
[3] Korea Railrd Res Inst, Railrd Control & Commun Res Team, Uiwang, South Korea
来源
ICINCO: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 2 | 2019年
关键词
INS/GPS; Train Application; Kalman Filter; Observability; RMSE;
D O I
10.5220/0007832602370242
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper aims to analyse the navigation performance that can be provided by the navigation system when applying the INS/GPS integrated navigation system to the train. The performance of the Kalman filter integrating INS and GPS can be summarized by the integrity of the measurement and the observability of the filter. Assuming the integrity of the GPS information used as a measurement is always satisfied, the performance of the filter can eventually be analysed by the observability. The observability of the filter depends on the dynamic trajectory of the train. Because the train has a non-holonomic constraint and onedimensional motion, the filter design and the performance analysis are carried out considering this. We analyse the observability of the filter through simulation and explain the limit of the filter and the flaw of the observability. We also analyse the reliability of the navigation system and present additional research directions.
引用
收藏
页码:237 / 242
页数:6
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