A novel predictive algorithm for double difference observations of obstructed BeiDou geostationary earth orbit (GEO) satellites

doi:10.1016/j.asr.2018.11.009

	A novel predictive algorithm for double difference observations of obstructed BeiDou geostationary earth orbit (GEO) satellites
	Du, Yuan 1; Huang, Guanwen 1; Zhang, Qin 1; Tu, Rui 2; Han, Junqiang 1; Yan, Xingyuan 1; Wang, Xiaolei 1
刊名	ADVANCES IN SPACE RESEARCH
	2019-03-01
卷号	63 期号:5 页码:1554-1565
关键词	BDS GEO Double difference observation prediction RTK Douglas-Peucker
ISSN号	0273-1177
DOI	10.1016/j.asr.2018.11.009
英文摘要	Transmission link disturbances and device failure cause global navigation satellite system (GNSS) receivers to miss observations, leading to poor accuracy in real-time kinematic (RTK) positioning. Previously described solutions for this problem are influenced by the length of the prediction period, or are unable to account for changes in receiver state because they use information from previous epochs to make predictions. We propose an algorithm for predicting double difference (DD) observations of obstructed BeiDou navigation system (BDS) GEO satellites. Our approach adopts the first-degree polynomial function for predicting missing observations. We introduce a Douglas-Peucker algorithm to judge the state of the rover receiver to reduce the impact of predictive biases. Static and kinematic experiments were carried out on BDS observations to evaluate the proposed algorithm. The results of our navigation experiment demonstrate that RTK positioning accuracy is improved from meter to decimeter level with fixed ambiguity (horizontal < 2 cm, vertical < 18 cm). Horizontal accuracy is improved by over 50%, and the vertical accuracies of the results of the static and kinematic experiments are increased by 47% and 27% respectively, compared with the results produced by the classical approach. Though as the baseline becomes longer, the accuracy is weakened, our predictive algorithm is an improvement over existing approaches to overcome the issue of missing data. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
资助项目	National Natural Science Foundation of China[41731066] ; National Natural Science Foundation of China[41774025] ; National Natural Science Foundation of China[41504006] ; National Natural Science Foundation of China[41674034] ; program of National Key Research and Development Plan of China[2016YFB0501804] ; Program of the Grand Projects of the BeiDou-2 System[GFZX0301040308] ; National Natural Science Foundation of Shan Xi[2016JQ4011] ; Chinese Academy of Sciences (CAS) program of Pioneer Hundred Talents[QYZDB-SSW-DQC028] ; Chinese Academy of Sciences (CAS) program of Frontier Science Research Project[QYZDB-SSW-DQC028] ; Special Fund for Basic Scientific Research of Central Colleges[310826172006] ; Special Fund for Basic Scientific Research of Central Colleges[310826172202] ; Special Fund for Basic Scientific Research of Central Colleges[310826173101]
WOS关键词	MULTIPATH MITIGATION ; GPS
WOS研究方向	Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000459643100005
资助机构	National Natural Science Foundation of China ; National Natural Science Foundation of China ; program of National Key Research and Development Plan of China ; program of National Key Research and Development Plan of China ; Program of the Grand Projects of the BeiDou-2 System ; Program of the Grand Projects of the BeiDou-2 System ; National Natural Science Foundation of Shan Xi ; National Natural Science Foundation of Shan Xi ; Chinese Academy of Sciences (CAS) program of Pioneer Hundred Talents ; Chinese Academy of Sciences (CAS) program of Pioneer Hundred Talents ; Chinese Academy of Sciences (CAS) program of Frontier Science Research Project ; Chinese Academy of Sciences (CAS) program of Frontier Science Research Project ; Special Fund for Basic Scientific Research of Central Colleges ; Special Fund for Basic Scientific Research of Central Colleges ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; program of National Key Research and Development Plan of China ; program of National Key Research and Development Plan of China ; Program of the Grand Projects of the BeiDou-2 System ; Program of the Grand Projects of the BeiDou-2 System ; National Natural Science Foundation of Shan Xi ; National Natural Science Foundation of Shan Xi ; Chinese Academy of Sciences (CAS) program of Pioneer Hundred Talents ; Chinese Academy of Sciences (CAS) program of Pioneer Hundred Talents ; Chinese Academy of Sciences (CAS) program of Frontier Science Research Project ; Chinese Academy of Sciences (CAS) program of Frontier Science Research Project ; Special Fund for Basic Scientific Research of Central Colleges ; Special Fund for Basic Scientific Research of Central Colleges ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; program of National Key Research and Development Plan of China ; program of National Key Research and Development Plan of China ; Program of the Grand Projects of the BeiDou-2 System ; Program of the Grand Projects of the BeiDou-2 System ; National Natural Science Foundation of Shan Xi ; National Natural Science Foundation of Shan Xi ; Chinese Academy of Sciences (CAS) program of Pioneer Hundred Talents ; Chinese Academy of Sciences (CAS) program of Pioneer Hundred Talents ; Chinese Academy of Sciences (CAS) program of Frontier Science Research Project ; Chinese Academy of Sciences (CAS) program of Frontier Science Research Project ; Special Fund for Basic Scientific Research of Central Colleges ; Special Fund for Basic Scientific Research of Central Colleges ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; program of National Key Research and Development Plan of China ; program of National Key Research and Development Plan of China ; Program of the Grand Projects of the BeiDou-2 System ; Program of the Grand Projects of the BeiDou-2 System ; National Natural Science Foundation of Shan Xi ; National Natural Science Foundation of Shan Xi ; Chinese Academy of Sciences (CAS) program of Pioneer Hundred Talents ; Chinese Academy of Sciences (CAS) program of Pioneer Hundred Talents ; Chinese Academy of Sciences (CAS) program of Frontier Science Research Project ; Chinese Academy of Sciences (CAS) program of Frontier Science Research Project ; Special Fund for Basic Scientific Research of Central Colleges ; Special Fund for Basic Scientific Research of Central Colleges
内容类型	期刊论文
源URL	[http://210.72.145.45/handle/361003/11817]
专题	中国科学院国家授时中心
通讯作者	Huang, Guanwen; Zhang, Qin
作者单位	1.Changan Univ, Coll Geol Engn & Geomat, 126 Yanta Rd, Xian 710054, Shaanxi, Peoples R China 2.Chinese Acad Sci, Natl Time Serv Ctr, Shu Yuan Rd, Xian 710600, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Du, Yuan,Huang, Guanwen,Zhang, Qin,et al. A novel predictive algorithm for double difference observations of obstructed BeiDou geostationary earth orbit (GEO) satellites[J]. ADVANCES IN SPACE RESEARCH,2019,63(5):1554-1565.
APA	Du, Yuan.,Huang, Guanwen.,Zhang, Qin.,Tu, Rui.,Han, Junqiang.,...&Wang, Xiaolei.(2019).A novel predictive algorithm for double difference observations of obstructed BeiDou geostationary earth orbit (GEO) satellites.ADVANCES IN SPACE RESEARCH,63(5),1554-1565.
MLA	Du, Yuan,et al."A novel predictive algorithm for double difference observations of obstructed BeiDou geostationary earth orbit (GEO) satellites".ADVANCES IN SPACE RESEARCH 63.5(2019):1554-1565.