| Satellite selection methods for multi-constellation advanced RAIM | |
| Luo, Silong1,2,3; Wang, Li1,2,4; Tu, Rui1,3,5; Zhang, Weiqi1,2; Wei, Jiancheng1,2; Chen, Cunting1,2 | |
| 2020-03-01 | |
| 发表期刊 | ADVANCES IN SPACE RESEARCH
 |
| ISSN | 0273-1177 |
| 卷号 | 65期号:5页码:1503-1517 |
| 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. |
| 关键词 | Advanced RAIM Satellite selection Multi-GNSS ISM LPV-200 |
| 资助者 | 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 |
| DOI | 10.1016/j.asr.2019.12.015 |
| 关键词[WOS] | INTEGRITY MONITORING ARAIM ; GLONASS ; GPS |
| 语种 | 英语 |
| 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] |
| 资助者 | 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 |
| WOS研究方向 | Engineering ; Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences |
| WOS类目 | Engineering, Aerospace ; Astronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:000515215000015 |
| 出版者 | ELSEVIER SCI LTD |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://210.72.145.45/handle/361003/9520 |
| 专题 | 导航与通信研究室 |
| 通讯作者 | Tu, Rui |
| 作者单位 | 1.State Key Lab Geog Informat Engn, Xian 710054, Peoples R China 2.Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Peoples R China 3.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China 4.Natl Adm Surveying Mapping & Geoinformat Engn, Res Ctr Geog Natl Condit Monitoring, Xian 710054, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, 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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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