Impact of baseline length on uncertainty in static relative GNSS positioning

被引:0
|
作者
Alif, Satrio Muhammad [1 ]
Erlando, Muhammad Ravid [1 ]
Anggara, Ongky [1 ]
Nurhayati, Misfallah [1 ]
机构
[1] Inst Teknol Sumatera, Dept Geomat Engn, Way Hui, Indonesia
关键词
baseline length; GNSS; positioning; static relative; uncertainty; GPS; GLONASS;
D O I
10.1515/jag-2024-0090
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Static relative Global Navigation Satellite Systems (GNSS) positioning is commonly used to achieve mm-level positioning uncertainty. However, few studies have examined the impact of baseline length to the positioning uncertainty. This study assesses 1,500 baselines across the five consecutive observation days and two plate motion inclusion options (15,000 baseline processing), to obtain the relationship between the baseline length and the positioning uncertainty. These baselines connect 25 International GNSS Stations (IGS) stations with the 60 Indonesia Continuously Operating Reference Stations (InaCORS) stations, continuous GNSS network in Indonesia. The 24-h GNSS data is processed using Bernese 5.2 to obtain daily coordinates solution in International Terrestrial Reference Frame 2014 (ITRF2014) with the uncertainty in the east/north/up component. Results show that longer baselines produce higher uncertainties, following an exponential trend. The east component has the lowest uncertainty due to the predominant east baseline azimuths. Baseline azimuths and plate motion considerations slightly influence uncertainty, but baseline length plays a much more significant role. Excluding plate motion noticeably increase uncertainty for baselines over 5,000 km. Specific uncertainty levels can be inferred from the exponential function, such as the baselines under 3,800 km are required for horizontal uncertainties under 3 mm. This exponential function also serves as a basis for selecting the constrained station in the GNSS data processing with the static relative GNSS positioning method.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Impact of Multiconstellation on Relative Static GNSS Positioning
    Poluzzi, Luca
    Tavasci, Luca
    Vecchi, Enrica
    Gandolfi, Stefano
    JOURNAL OF SURVEYING ENGINEERING, 2021, 147 (02)
  • [2] Impact of the precise ephemeris on accuracy of GNSS baseline in relative positioning technique
    Dinh Trong Tran
    Dinh Huy Nguyen
    Ngoc Dung Luong
    Duy Toan Dao
    VIETNAM JOURNAL OF EARTH SCIENCES, 2021, 43 (01): : 96 - 110
  • [3] Effect of IGS baseline length on GNSS Positioning Accuracy
    Mohamed, Tarek A.
    Yousef, Mohamed A.
    Alemam, Mustafa K.
    Mostafa, Yasser G.
    RUDARSKO-GEOLOSKO-NAFTNI ZBORNIK, 2023, 38 (03): : 81 - 93
  • [4] Long baseline high accuracy GNSS relative positioning algorithm
    Liu, Yaqing
    Lian, Baowang
    Tang, Chengkai
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2013, 31 (03): : 451 - 456
  • [5] Long baseline GNSS relative positioning with estimating ionospheric and tropospheric delays and their gradients
    Department of Electrical and Electronic Engineering, Ritsumeikan University, 1-1-1, Noji-Higashi, Kusatsu City, Shiga 525-8577, Japan
    Int. J. Innov. Comput. Inf. Control, 3 B (2375-2388):
  • [6] LONG BASELINE GNSS RELATIVE POSITIONING WITH ESTIMATING IONOSPHERIC AND TROPOSPHERIC DELAYS AND THEIR GRADIENTS
    Kubo, Yukihiro
    Tanaka, Hisaya
    Ohashi, Masaharu
    Sugimoto, Sueo
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2012, 8 (3B): : 2375 - 2388
  • [7] BDS relative static positioning over long baseline improved by GEO multipath mitigation
    Wang, Min
    Chai, Hongzhou
    Liu, Jun
    Zeng, Anmin
    ADVANCES IN SPACE RESEARCH, 2016, 57 (03) : 782 - 793
  • [9] MSTIDs impact on GNSS observations and its mitigation in rapid static positioning at medium baselines
    Sieradzki, Rafal
    Paziewski, Jacek
    ANNALS OF GEOPHYSICS, 2015, 58 (06)
  • [10] Inversion and characteristics of unmodeled errors in GNSS relative positioning
    Wang, Jiafu
    Yu, Xianwen
    Guo, Shusen
    MEASUREMENT, 2022, 195