Access the full text.
Sign up today, get DeepDyve free for 14 days.
C. Carrano, A. Anghel, R. Quinn, K. Groves (2009)
Kalman filter estimation of plasmaspheric total electron content using GPSRadio Science, 44
(2004)
A generalized trigonometric series
Min Li, Yunbin Yuan, Ningbo Wang, Zishen Li, Y. Li, X. Huo (2017)
Estimation and analysis of Galileo differential code biasesJournal of Geodesy, 91
(1999)
Automated daily process for global ionospheric total electron content maps and satellite ocean ionospheric calibration based on Global Positioning System
Weijun Lu, G. Ma, Xiaolan Wang, Qingtao Wan, Jinghua Li (2017)
Evaluation of ionospheric height assumption for single station GPS-TEC derivationAdvances in Space Research, 60
D. Coco, C. Coker, S. Dahlke, J. Clynch (1991)
Variability of GPS satellite differential group delay biases
A. Shukla, Saurabh Das, Neha Nagori, M. Sivaraman, K. Bandyopadhyay (2009)
Two-Shell Ionospheric Model for Indian Region: A Novel ApproachIEEE Transactions on Geoscience and Remote Sensing, 47
G. Lanyi, Titus Roth (1988)
A comparison of mapped and measured total ionospheric electron content using global positioning system and beacon satellite observationsRadio Science, 23
Ningbo Wang, Yunbin Yuan, Zishen Li, O. Montenbruck, Bingfeng Tan (2016)
Determination of differential code biases with multi-GNSS observationsJournal of Geodesy, 90
L. Dyrud, A. Jovancevic, Andrew Brown, Derek Wilson, S. Ganguly (2007)
Ionospheric measurement with GPS: Receiver techniques and methodsRadio Science, 43
S. Schaer, G. Beutler, L. Mervart, M. Rothacher, U. Wild (1996)
Global and regional ionosphere models using the GPS double difference phase observable
A. Coster, J. Williams, A. Weatherwax, W. Rideout, D. Herne (2013)
Accuracy of GPS total electron content: GPS receiver bias temperature dependenceRadio Science, 48
K Davies (1990)
70
(1999)
Automated daily process for global ionospheric total electron content maps and satellite ocean ionospheric calibration based on Global Positioning Sys
Min Li, Yunbin Yuan, Baocheng Zhang, Ningbo Wang, Zishen Li, Xifeng Liu, Xiao Zhang (2018)
Determination of the optimized single-layer ionospheric height for electron content measurements over ChinaJournal of Geodesy, 92
N. Lomb (1976)
Least-squares frequency analysis of unequally spaced dataAstrophysics and Space Science, 39
A. Anghel, C. Carrano, A. Komjathy, A. Astilean, T. Letia (2009)
Kalman filter-based algorithms for monitoring the ionosphere and plasmasphere with GPS in near-real timeJournal of Atmospheric and Solar-Terrestrial Physics, 71
S. Kao, Y. Tu, W. Chen, D. Weng, S. Ji (2013)
Factors affecting the estimation of GPS receiver instrumental biasesSurvey Review, 45
Ildiko Horvath, Stuart Crozier (2007)
Software developed for obtaining GPS‐derived total electron content valuesRadio Science, 42
A. Mannucci, B. Wilson, D. Yuan, C. Ho, U. Lindqwister, T. Runge (1998)
A global mapping technique for GPS‐derived ionospheric total electron content measurementsRadio Science, 33
Z. Huang, H. Yuan (2014)
Ionospheric single‐station TEC short‐term forecast using RBF neural networkRadio Science, 49
(1990)
Ionospheric radio
The effect of shell height on high precision ionospheric modelling using GPS
Yunbin Yuan, J. Ou (2004)
A generalized trigonometric series function model for determining ionospheric delayProgress in Natural Science, 14
P. Rao, K. Niranjan, D. Prasad, Gopi Seemala, G. Uma (2006)
On the validity of the ionospheric pierce point (IPP) altitude of 350 km in the Indian equatorial and low-latitude sectorAnnales Geophysicae, 24
K. Niranjan, B. Srivani, Gopi Seemala, P. Rao (2007)
Spatial distribution of ionization in the equatorial and low‐latitude ionosphere of the Indian sector and its effect on the pierce point altitude for GPS applications during low solar activity periodsJournal of Geophysical Research, 112
(2007)
Software developed for obtaining GPSderived total electron content
R. Warnant (1997)
Reliability of the TEC Computed Using GPS Measurements — The Problem of Hardware BiasesActa Geodaetica et Geophysica Hungarica, 32
C. Brunini, E. Camilión, F. Azpilicueta (2011)
Simulation study of the influence of the ionospheric layer height in the thin layer ionospheric modelJournal of Geodesy, 85
B. Iijima, I. Harris, C. Ho, U. Lindqwister, A. Mannucci, X. Pi, M. Reyes, L. Sparks, B. Wilson (1999)
Automated daily process for global ionospheric total electron content maps and satellite ocean altimeter ionospheric calibration based on Global Positioning System dataJournal of Atmospheric and Solar-Terrestrial Physics, 61
L. Ciraolo, F. Azpilicueta, C. Brunini, A. Meza, S. Radicella (2007)
Calibration errors on experimental slant total electron content (TEC) determined with GPSJournal of Geodesy, 81
Yunbin Yuan, J. Ou (2002)
Differential areas for differential stations (DADS): A new method of establishing grid ionospheric modelChinese Science Bulletin, 47
M. Alizadeh, Harald Schuh, S. Todorova, Michael Schmidt (2011)
Global Ionosphere Maps of VTEC from GNSS, satellite altimetry, and formosat-3/COSMIC dataJournal of Geodesy, 85
Peng Chen, Yibin Yao, Wanqiang Yao (2017)
Global ionosphere maps based on GNSS, satellite altimetry, radio occultation and DORISGPS Solutions, 21
Zishen Li, Yunbin Yuan, Hui Li, J. Ou, X. Huo (2012)
Two-step method for the determination of the differential code biases of COMPASS satellitesJournal of Geodesy, 86
J. Scargle (1982)
Studies in astronomical time series analysis. II - Statistical aspects of spectral analysis of unevenly spaced dataThe Astrophysical Journal, 263
M. Birch, J. Hargreaves, G. Bailey (2002)
On the use of an effective ionospheric height in electron content measurement by GPS receptionRadio Science, 37
PVS Rao, K Niranjan (2006)
Prasad DSVVD, Krishna SG, Uma G (2006) On the validity of the ionospheric pierce point (IPP) altitude of 350 km in the Indian equatorial and low-latitude sectorAnn Geophys, 24
E. Sardón, N. Zarraoa (1997)
Estimation of total electron content using GPS data: How stable are the differential satellite and receiver instrumental biases?Radio Science, 32
(1996)
The effect of shell height on high precision ionospheric modelling using GPS. In: Proceedings of the international GPS service for geodynamics (IGS) workshop
E. Sardón, A. Rius, N. Zarraoa (1994)
Estimation of the transmitter and receiver differential biases and the ionospheric total electron content from Global Positioning System observationsRadio Science, 29
F. Arıkan, H. Nayir, U. Sezen, O. Arikan (2008)
Estimation of single station interfrequency receiver bias using GPS‐TECRadio Science, 43
X. Ma, T. Maruyama, G. Ma, T. Takeda (2005)
Determination of GPS receiver differential biases by neural network parameter estimation methodRadio Science, 40
M. Sekido, T. Kondo, E. Kawai, M. Imae (2003)
Evaluation of GPS‐based ionospheric TEC map by comparing with VLBI dataRadio Science, 38
G. Ma, T. Maruyama (2002)
Derivation of TEC and estimation of instrumental biases from GEONET in JapanAnnales Geophysicae, 21
The ionospheric shell height has an impact on the estimated differential code bias (DCB) and total electron content (TEC) obtained by global navigation satellite system (GNSS) data, especially for a single site. However, the shell height is generally considered as a fixed value. Based on data from the international GNSS service (IGS), we propose the concept of optimal ionospheric shell height, which minimizes |ΔDCB| when compared to the DCB provided by Center for Orbit Determination in Europe (CODE). Based on the data from five IGS stations at high, middle, and low latitudes during the time 2003–2013, we investigate the variation in the optimal ionospheric shell height and its relation with the solar activity. Results indicate that the relation between the mean of the optimal ionospheric shell height and the latitude is N-shaped. At the three stations at midlatitude, the mean value almost increases linearly with the latitude. The optimal ionospheric shell heights show 11-year and 1-year periods. The influences of the solar activity are related to the means of the optimal ionospheric shell height during the time 2003–2013. The slope of the linear fitting decreases with the mean value. Using the data from 2003 to 2013, we estimate the daily optimal ionospheric shell heights for 2014 by using the Fourier fitting method and then calculate the daily average of ΔDCB of the observed satellites by comparing to CODE results. The statistical results of the daily average in 2014 show that the optimal ionospheric shell height is much better than the fixed one. From the high-latitude station to the low-latitude station, the improvements in the mean value are about 75, 92, 96, 50, and 88% and the root-mean-squares are reduced by about 0.16, 2.09, 2.01, 1.01, and 0.02 TECu, respectively.
GPS Solutions – Springer Journals
Published: Feb 23, 2018
Access the full text.
Sign up today, get DeepDyve free for 14 days.