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Improved stochastic modeling of multi-GNSS single point positioning with additional BDS-3 observations
Hu, Hong1,3; Zhou, Feng2; Jin, Shuanggen4,5,6
2021-04-01
Source PublicationMEASUREMENT SCIENCE AND TECHNOLOGY
ISSN0957-0233
Volume32Issue:4Pages:12
AbstractThe accuracy of Global Navigation Satellite System (GNSS) observations is affected by many factors, such as different systems, frequencies, carriers and pseudoranges, all of which also vary with different situations. Therefore, it is challenging to establish an accurate stochastic model for multi-GNSS positioning in theory, particularly for the additional BeiDou-3 Global Navigation Satellite System (BDS-3). In practical applications, the real stochastic model needs to be estimated based on the characteristics of the observations themselves. We evaluated the influence of BDS-3 on the positioning results using 46 sites distributed around the world and proposed an improved stochastic model for multi-GNSS single point positioning (SPP) based on the least-squares variance component estimation (LS-VCE). The results show that when the BDS-3 observations are added, the positioning precision and accuracy are significantly improved. By using the improved LS-VCE method in GPS/BDS dual system positioning, the accuracy of E, N and U directions are 0.373, 0.498 and 1.044 m, respectively, when compared to the traditional method with 0.502, 0.533 and 1.333 m. The proposed stochastic model improves the multi-GNSS SPP accuracy without significantly increasing the calculation time. Furthermore, reliable results are obtained for all epochs with the improved LS-VCE model.
KeywordBDS-3 stochastic model LS-VCE multi-GNSS single point positioning
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; NASG Key Laboratory of Land Environment and Disaster Monitoring
DOI10.1088/1361-6501/abd1fd
Language英语
Funding ProjectNational Natural Science Foundation of China[41704036] ; National Natural Science Foundation of China[41904027] ; NASG Key Laboratory of Land Environment and Disaster Monitoring[LEDM2014B02]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NASG Key Laboratory of Land Environment and Disaster Monitoring ; NASG Key Laboratory of Land Environment and Disaster Monitoring
WOS Research AreaEngineering ; Instruments & Instrumentation
WOS SubjectEngineering, Multidisciplinary ; Instruments & Instrumentation
WOS IDWOS:000622309900001
PublisherIOP PUBLISHING LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/79190
Collection中国科学院国家天文台
Corresponding AuthorHu, Hong
Affiliation1.Anhui Univ, Sch Resources & Environm Engn, Hefei 230601, Peoples R China
2.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China
3.Anhui Univ, Anhui Prov Key Lab Wetland Ecosyst Protect & Rest, Hefei 230601, Peoples R China
4.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
5.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
6.Nanjing Univ Informat Sci & Technol, Jiangsu Engn Ctr Collaborat Nav Positioning & Sma, Nanjing 210044, Peoples R China
Recommended Citation
GB/T 7714
Hu, Hong,Zhou, Feng,Jin, Shuanggen. Improved stochastic modeling of multi-GNSS single point positioning with additional BDS-3 observations[J]. MEASUREMENT SCIENCE AND TECHNOLOGY,2021,32(4):12.
APA Hu, Hong,Zhou, Feng,&Jin, Shuanggen.(2021).Improved stochastic modeling of multi-GNSS single point positioning with additional BDS-3 observations.MEASUREMENT SCIENCE AND TECHNOLOGY,32(4),12.
MLA Hu, Hong,et al."Improved stochastic modeling of multi-GNSS single point positioning with additional BDS-3 observations".MEASUREMENT SCIENCE AND TECHNOLOGY 32.4(2021):12.
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