Collaborative positioning method via GPS/INS and RS/MO multi-source data fusion in multi-target navigation

被引：9
|
作者：
Liu, Rui [1 ]
Greve, Klaus [1 ]
Cui, Pengyu [2 ]
Jiang, Nan [2 ]
机构：
[1] Univ Bonn, Dept Geog, Bonn, Germany
[2] Informat Engn Univ, Dept Surveying & Mapping, Zhengzhou, Peoples R China
来源：
SURVEY REVIEW | 2022年 / 54卷 / 383期
关键词：
Mutual Observation (MO); GPS; INS; RS; MO Multi-source data fusion; Multi-target collaborative navigation;
D O I：
10.1080/00396265.2021.1883962
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper aims to design a method of multi-source data fusion in multi-target collaborative navigation. First, the respective features of GPS/INS/RS/MO data in the navigation process are clarified. Then a multi-source data fusion method is designed including GPS/INS data fusion with adaptive Kalman filter, RS/MO data fusion with ranging table matching of observation targets, and joint adjustment with fused GPS/INS and RS/MO data. Finally, a simulation experiment is carried out to verify the improvement in positioning efficiency and precision. The results show that collaborative navigation based on multi-source data fusion can increase the stability and accuracy of the navigation service.
引用
收藏
页码：95 / 105
页数：11
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