Estimation and evaluation of hourly Meteorological Operational (MetOp) satellites' GPS receiver differential code biases (DCBs) with two different methods

被引:1
作者
Li, Linlin [1 ,2 ]
Jin, Shuanggen [1 ,3 ]
机构
[1] Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
[2] Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
[3] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454003, Peoples R China
基金
美国国家航空航天局;
关键词
D O I
10.5194/angeo-41-465-2023
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Differential code bias (DCB) is one of the Global Positioning System (GPS) errors, which typically affects the calculation of total electron content (TEC) and ionospheric modeling. In the past, DCB was normally estimated as a constant in 1 d, while DCB of a low Earth orbit (LEO) satellite GPS receiver may have large variations within 1 d due to complex space environments and highly dynamic orbit conditions. In this study, daily and hourly DCBs of Meteorological Operational (MetOp) satellites' GPS receivers are calculated and evaluated using the spherical harmonic function (SHF) and the local spherical symmetry (LSS) assumption. The results demonstrated that both approaches could obtain accurate and consistent DCB values. The estimated daily DCB standard deviation (SD) is within 0.1 ns in accordance with the LSS assumption, and it is numerically less than the standard deviation of the reference value provided by the Constellation Observing System for Meteorology Ionosphere and Climate (COSMIC) Data Analysis and Archive Center (CDAAC). The average error's absolute value is within 0.2 ns with respect to the provided DCB reference value. As for the SHF method, the DCB's standard deviation is within 0.1 ns , which is also less than the standard deviation of the CDAAC reference value. The average error of the absolute value is within 0.2 ns . The estimated hourly DCB with LSS assumptions suggested that calculated results of MetOpA, MetOpB, and MetOpC are, respectively, 0.5 to 3.1 ns , - 1.1 to 1.5 ns , and - 1.3 to 0.7 ns . The root mean square error (RMSE) is less than 1.2 ns , and the SD is under 0.6 ns . According to the SHF method, the results of MetOpA, MetOpB, and MetOpC are 1 to 2.7 ns , - 1 to 1 ns , and - 1.3 to 0.6 ns , respectively. The RMSE is under 1.3 ns and the SD is less than 0.5 ns . The SD for solar active days is less than 0.43, 0.49, and 0.44 ns , respectively, with the LSS assumption, and the appropriate fluctuation ranges are 2.0, 2.2, and 2.2 ns . The variation ranges for the SHF method are 1.5, 1.2, and 1.2 ns , respectively, while the SD is under 0.28, 0.35, and 0.29 ns .
引用
收藏
页码:465 / 481
页数:17
相关论文
共 31 条
[1]   Temporal and spatial variation of differential code biases: A case study of regional network in Egypt [J].
Abid, Mohammed A. ;
Mousa, A. ;
Rabah, M. ;
El Mewafi, M. ;
Awad, A. .
ALEXANDRIA ENGINEERING JOURNAL, 2016, 55 (02) :1507-1514
[2]   Estimation of single station interfrequency receiver bias using GPS-TEC [J].
Arikan, F. ;
Nayir, H. ;
Sezen, U. ;
Arikan, O. .
RADIO SCIENCE, 2008, 43 (04)
[3]   Correlation between Ionospheric TEC and the DCB Stability of GNSS Receivers from 2014 to 2016 [J].
Choi, Byung-Kyu ;
Sohn, Dong-Hyo ;
Lee, Sang Jeong .
REMOTE SENSING, 2019, 11 (22)
[4]   The influence of grounding on GPS receiver differential code biases [J].
Choi, Byung-Kyu ;
Lee, Sang Jeong .
ADVANCES IN SPACE RESEARCH, 2018, 62 (02) :457-463
[5]   Accuracy assessment of the GPS-TEC calibration constants by means of a simulation technique [J].
Federico Conte, Juan ;
Azpilicueta, Francisco ;
Brunini, Claudio .
JOURNAL OF GEODESY, 2011, 85 (10) :707-714
[6]   A simple "geometric'' mapping function for the hydrostatic delay at radio frequencies and assessment of its performance [J].
Foelsche, U ;
Kirchengast, G .
GEOPHYSICAL RESEARCH LETTERS, 2002, 29 (10) :111-1
[7]   M_DCB: Matlab code for estimating GNSS satellite and receiver differential code biases [J].
Jin, Rui ;
Jin, Shuanggen ;
Feng, Guiping .
GPS SOLUTIONS, 2012, 16 (04) :541-548
[8]   Long-Term Variations of Plasmaspheric Total Electron Content from Topside GPS Observations on LEO Satellites [J].
Jin, Shuanggen ;
Gao, Chao ;
Yuan, Liangliang ;
Guo, Peng ;
Calabia, Andres ;
Ruan, Haibing ;
Luo, Peng .
REMOTE SENSING, 2021, 13 (04) :1-15
[9]   Factors affecting the estimation of GPS receiver instrumental biases [J].
Kao, S. ;
Tu, Y. ;
Chen, W. ;
Weng, D. J. ;
Ji, S. Y. .
SURVEY REVIEW, 2013, 44 (328) :59-67
[10]   Estimation and analysis of the short-term variations of multi-GNSS receiver differential code biases using global ionosphere maps [J].
Li, Min ;
Yuan, Yunbin ;
Wang, Ningbo ;
Liu, Teng ;
Chen, Yongchang .
JOURNAL OF GEODESY, 2018, 92 (08) :889-903