INS/GPS integration system using street return algorithm and compass sensor

被引:9
作者
Nguyen Quang Vinh [1 ]
机构
[1] Acad Mil Sci & Technol, Hanoi, Vietnam
来源
XII INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS 2016, (INTELS 2016) | 2017年 / 103卷
关键词
Micro electro mechanical systems (MEMS); global positioning system (GPS); inertial navigation system (INS); street return algorithm (SRA); compass sensor;
D O I
10.1016/j.procs.2017.01.030
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays, navigation and guidance is widely applied in many different fields. The high accuracy is very important and necessary in most of applications, but it sometimes needs to have a balance between cost and performance of navigation system. Hence, there are many new algorithms, new integrated methods are proposed to integrate or embed into INS/GPS integration systems to enhance accuracy, to reduce size and have an acceptable cost. In the recent study of our group, we have succeeded in finding out a new algorithm named Street Return Algorithm and embedding into a INS/GPS integration system. However, that research only obtains high accuracy when errors determined by INS are traverse of roads but in remanent cases the accuracy could not be determined. In this paper, we have theoretically proposed to use a compass sensor and a corresponding algorithm with this kind of sensor in order to overcome that limitation. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:475 / 482
页数:8
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