Research on GPS/INS Integrated Navigation Algorithm

被引：0
|
作者：
Liu, Ming [1 ]
机构：
[1] Binzhou Univ, Flying Coll, Binzhou, Shandong, Peoples R China
来源：
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2017) | 2017年 / 86卷
关键词：
GPS/INS integrated navigation; system model; kalman filtering; KALMAN FILTER; NOISE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：282 / 285
页数：4
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