Research on GPS/INS Integrated Navigation Algorithm
- 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/).
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 -