CSpace
GLONASS real-time wide-lane ambiguity resolution with an enhanced geometry-based model for medium-range baselines
Xu, Longwei1; Liu, Hui1,2; Shu, Bao1; Zheng, Fu4; Zhang, Ming3; Qian, Chuang1; Duan, Yingzi5
2018-11-01
发表期刊ADVANCES IN SPACE RESEARCH
ISSN0273-1177
卷号62期号:9页码:2467-2479
摘要Double-difference wide-lane integer ambiguities are determined first to assist narrow-lane ambiguity resolution in real-time medium range baseline resolution. The Hatch-Melbourne-Wiibbena (HMW) is the conventional strategy for wide-lane ambiguity resolution, which works well for GPS/Galileo/BDS. However, the un-canceled inter frequency bias (IFB) on double-difference measurement causes that the HMW combination is invalid on GLONASS wide-lane ambiguity resolution. The residual IFB in double-difference measurement may be several meters, especially between inhomogeneous stations. There is no effective method to model or tabulate ranging codes IFB. In this paper, we propose a device-independent geometry-based model to achieve GLONASS real-time wide-lane ambiguity resolution for medium-range baselines. Since zenith tropospheric delay and slant ionospheric delay of satellites are estimated as unknown parameters, we utilize atmosphere-weighted algorithm to enhance the model strength and decrease the dependence on pseudorange measurement. For medium-range baseline, GLONASS wide-lane ambiguity float solutions can converge quickly by the geometry-based model. The cumulative frequency of WL AR can exceed 99% during 10 epochs. Benefiting from rapid and reliable wide-lane ambiguity resolution, the positioning accuracy of GPS/GLONASS RTK fixed solution are greater than 3 cm in level direction and 5 cm in upward direction for 40-100 km baselines. An approximately 35% improvement rate is observed in each direction compared with that of single GPS RTK. Since less available satellites for single-GLONASS mode, the convergence of wide-lane ambiguity becomes slower. For base stations with known coordinates, the enhanced geometry-based model can be developed to the enhanced geometry-fixed model and are applied to longer baselines. Assisting with the geometry-fixed model, more than 90% of GLONASS narrow-lane ambiguities can be fixed quickly for 80-160 km baselines. It should be noted that the accuracy of external atmospheric delay is critical to the performance of the geometry-based method. Its benefit may weaken with the increasing of baseline length, when external atmospheric delays are set as 0 directly. (C) 2018 Published by Elsevier Ltd on behalf of COSPAR.
关键词GLONASS Real time Wide-lane ambiguity resolution Atmospheric constraint Enhanced geometry-based model Medium-range RTK
DOI10.1016/j.asr.2018.07.027
语种英语
资助项目National Key Research and Development Program of China[2016YFB0800405]
WOS研究方向Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
WOS类目Astronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000447479600007
出版者ELSEVIER SCI LTD
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/31450
专题中国科学院数学与系统科学研究院
通讯作者Liu, Hui
作者单位1.Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Hubei, Peoples R China
2.Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
4.Beihang Univ, Sch Elect & Informat Engn, Beijing 100083, Peoples R China
5.Hubei Inst Land Surveying & Mapping, Wuhan 430079, Hubei, Peoples R China
推荐引用方式
GB/T 7714
Xu, Longwei,Liu, Hui,Shu, Bao,et al. GLONASS real-time wide-lane ambiguity resolution with an enhanced geometry-based model for medium-range baselines[J]. ADVANCES IN SPACE RESEARCH,2018,62(9):2467-2479.
APA Xu, Longwei.,Liu, Hui.,Shu, Bao.,Zheng, Fu.,Zhang, Ming.,...&Duan, Yingzi.(2018).GLONASS real-time wide-lane ambiguity resolution with an enhanced geometry-based model for medium-range baselines.ADVANCES IN SPACE RESEARCH,62(9),2467-2479.
MLA Xu, Longwei,et al."GLONASS real-time wide-lane ambiguity resolution with an enhanced geometry-based model for medium-range baselines".ADVANCES IN SPACE RESEARCH 62.9(2018):2467-2479.
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