Satellite selection methods for multi-constellation advanced RAIM

doi:10.1016/j.asr.2019.12.015

	Satellite selection methods for multi-constellation advanced RAIM
	Luo, Silong 3,4,5; Wang, Li 2,4,5; Tu, Rui 1,3,5; Zhang, Weiqi 4,5; Wei, Jiancheng 4,5; Chen, Cunting 4,5
刊名	ADVANCES IN SPACE RESEARCH
	2020-03-01
卷号	65 期号:5 页码:1503-1517
关键词	Advanced RAIM Satellite selection Multi-GNSS ISM LPV-200
ISSN号	0273-1177
DOI	10.1016/j.asr.2019.12.015
英文摘要	The increased number of potential threat modes under multi-constellation advanced receiver autonomy integrity monitoring (ARAIM) requires an increase in the number of subsets and a correspondingly high computational load. A new satellite selection method based on integrity support message (ISM) parameters is proposed and compared with GDOP-based selection. The performance was tested on five days of data measurements from 21 multi-global navigation satellite system experiment (MGEX) stations distributed around the world, as well as simulation using the broadcast ephemeris. The results show that the proposed ISM-based satellite selection method is highly compatible with the baseline ARAIM. This method could reduce the computational times by about 60-70% quickly, with minimising vertical protection level (VPL) loss, which was consistently within 1 m, even a reduced VPL value in some epochs, and resulting in an improved availability. The simulation results were similar to the MGEX data. It appears that the application of ISM based satellite selection can effectively reduce computational burden with a minimal impact on availability. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
资助项目	National Natural Science Foundation of China[41877289] ; National Natural Science Foundation of China[41731066] ; National Natural Science Foundation of China[41604001] ; National Natural Science Foundation of China[41674034] ; National Natural Science Foundation of China[41974032] ; Chinese Academy of Sciences (CAS) programs of "Pioneer Hundred Talents" ; State Key Laboratory of Geoinformation Engineering[SKLGIE2017-Z-2-1] ; National Key R&D Program of China[2018YFC1504805]
WOS关键词	INTEGRITY MONITORING ARAIM ; GLONASS ; GPS
WOS研究方向	Engineering ; Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000515215000015
资助机构	National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of "Pioneer Hundred Talents" ; Chinese Academy of Sciences (CAS) programs of "Pioneer Hundred Talents" ; State Key Laboratory of Geoinformation Engineering ; State Key Laboratory of Geoinformation Engineering ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of "Pioneer Hundred Talents" ; Chinese Academy of Sciences (CAS) programs of "Pioneer Hundred Talents" ; State Key Laboratory of Geoinformation Engineering ; State Key Laboratory of Geoinformation Engineering ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of "Pioneer Hundred Talents" ; Chinese Academy of Sciences (CAS) programs of "Pioneer Hundred Talents" ; State Key Laboratory of Geoinformation Engineering ; State Key Laboratory of Geoinformation Engineering ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of "Pioneer Hundred Talents" ; Chinese Academy of Sciences (CAS) programs of "Pioneer Hundred Talents" ; State Key Laboratory of Geoinformation Engineering ; State Key Laboratory of Geoinformation Engineering ; National Key R&D Program of China ; National Key R&D Program of China
内容类型	期刊论文
源URL	[http://210.72.145.45/handle/361003/9520]
专题	国家授时中心_导航与通信研究室
通讯作者	Tu, Rui
作者单位	1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Natl Adm Surveying Mapping & Geoinformat Engn, Res Ctr Geog Natl Condit Monitoring, Xian 710054, Peoples R China 3.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China 4.Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Peoples R China 5.State Key Lab Geog Informat Engn, Xian 710054, Peoples R China
推荐引用方式 GB/T 7714	Luo, Silong,Wang, Li,Tu, Rui,et al. Satellite selection methods for multi-constellation advanced RAIM[J]. ADVANCES IN SPACE RESEARCH,2020,65(5):1503-1517.
APA	Luo, Silong,Wang, Li,Tu, Rui,Zhang, Weiqi,Wei, Jiancheng,&Chen, Cunting.(2020).Satellite selection methods for multi-constellation advanced RAIM.ADVANCES IN SPACE RESEARCH,65(5),1503-1517.
MLA	Luo, Silong,et al."Satellite selection methods for multi-constellation advanced RAIM".ADVANCES IN SPACE RESEARCH 65.5(2020):1503-1517.