Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

Research on GPS/INS Integrated Navigation Algorithm

Authors
Ming Liu
Corresponding Author
Ming Liu
Available Online April 2017.
DOI
10.2991/eame-17.2017.66How to use a DOI?
Keywords
GPS/INS integrated navigation; system model; kalman filtering
Abstract

The GPS/INS integrated navigation system has a strong complementarities among the subsystems. It has a very broad application prospects and an important role. In this paper, the development of the satellite navigation system and the inertial navigation system is introduced, and the current situation of integrated navigation system is analyzed. In the meanwhile, this paper briefly introduces the GPS/INS integrated technology. the mathematical model of GPS/INS integrated navigation system is analyzed, and the system mathematical model that takes position and speed as the viewing measurement is obtained. At last, the algorithm of integrated navigation is analyzed, and the extended Kalman filtering algorithm is proposed and simulation analysis and performance comparison of these algorithms are carried out.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/eame-17.2017.66
ISSN
2352-5401
DOI
10.2991/eame-17.2017.66How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ming Liu
PY  - 2017/04
DA  - 2017/04
TI  - Research on GPS/INS Integrated Navigation Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 282
EP  - 285
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.66
DO  - 10.2991/eame-17.2017.66
ID  - Liu2017/04
ER  -