Utilizing least squares variance component estimation to combine multi-GNSS clock offsets

被引:0
|
作者
Mansur, Gustavo [1 ,2 ]
Brack, Andreas [1 ]
Sakic, Pierre [3 ]
Maennel, Benjamin [1 ]
Schuh, Harald [1 ,2 ]
机构
[1] GFZ German Res Ctr Geosci, D-14473 Potsdam, Germany
[2] Tech Univ Berlin, Str 17 Juni 135, D-10623 Berlin, Germany
[3] Univ Paris Cite, Inst Phys Globe Paris, CNRS, 1 Rue Jussieu, F-75005 Paris, France
关键词
Multi-GNSS; Clock combination; Variance component estimation; Clock bias; Clock offset; STATION; IGS;
D O I
10.1007/s10291-023-01604-4
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The International GNSS Service (IGS) provides combined satellite and station clock products, which are generated from the individual clock solutions produced by the analysis centers (ACs). Combinations for GPS and GLONASS are currently available, but there is still a lack of combined products for the new constellations such as Galileo, BeiDou, and QZSS. This study presents a combination framework based on least squares variance component estimation using the ACs' aligned clock solutions. We present the various alignments required to harmonize the solutions from the ACs, namely the radial correction derived from the differences of the associated orbits, the alignment of the AC clocks to compensate for different reference clocks within each AC solution, and the inter-system bias (ISB) alignment to correct for different AC ISB definitions when multiple constellations are used. The combination scheme is tested with IGS MGEX and repro3 products. The RMS computed between the combined product and the aligned ACs' solutions differ for each constellation, where the lowest values are obtained for Galileo and GPS with on average below 45 psec (13 mm) and reaching more than 150 psec (45 mm) for QZSS. The same behavior is repeated when the process is performed with the repro3 products. A clock and orbit combination validation is done using precise point positioning (PPP) that shows ionosphere-free phase residuals below 10 mm for all constellations, comparable with the AC solutions that are in the same level.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Utilizing least squares variance component estimation to combine multi-GNSS clock offsets
    Gustavo Mansur
    Andreas Brack
    Pierre Sakic
    Benjamin Männel
    Harald Schuh
    GPS Solutions, 2024, 28
  • [2] Helmert Variance Component Estimation for Multi-GNSS Relative Positioning
    Li, Mowen
    Nie, Wenfeng
    Xu, Tianhe
    Rovira-Garcia, Adria
    Fang, Zhenlong
    Xu, Guochang
    SENSORS, 2020, 20 (03)
  • [3] Combination of GNSS orbits using least-squares variance component estimation
    Gustavo Mansur
    Pierre Sakic
    Andreas Brack
    Benjamin Männel
    Harald Schuh
    Journal of Geodesy, 2022, 96
  • [4] Combination of GNSS orbits using least-squares variance component estimation
    Mansur, Gustavo
    Sakic, Pierre
    Brack, Andreas
    Maennel, Benjamin
    Schuh, Harald
    JOURNAL OF GEODESY, 2022, 96 (11)
  • [5] Multi-GNSS/Acoustic joint positioning method based on variance component estimation
    Kuang Y.
    Lü Z.
    Chen Z.
    Wang F.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2019, 27 (02): : 181 - 189
  • [6] Least-squares variance component estimation
    Teunissen, P. J. G.
    Amiri-Simkooei, A. R.
    JOURNAL OF GEODESY, 2008, 82 (02) : 65 - 82
  • [7] Least-squares variance component estimation
    P. J. G. Teunissen
    A. R. Amiri-Simkooei
    Journal of Geodesy, 2008, 82 : 65 - 82
  • [8] Variance Component Estimation by the Method of Least-Squares
    Teunissen, P. J. G.
    Amiri-Simkooei, A. R.
    VI HOTINE-MARUSSI SYMPOSIUM ON THEORETICAL AND COMPUTATIONAL GEODESY, 2008, 132 : 273 - 279
  • [9] Fast implementation of least squares variance component estimation for diagonal matrices: applications to GNSS time series
    Mashhadizadeh-Maleki, Saeed
    Amiri-Simkooei, Alireza
    GPS SOLUTIONS, 2025, 29 (01)
  • [10] Integration of variance component estimation with robust Kalman filter for single-frequency multi-GNSS positioning
    Bahadur, Berkay
    Nohutcu, Metin
    MEASUREMENT, 2021, 173