Vertical ionospheric delay estimation for single-receiver operation
-
Ahmed Elsayed
,
Ahmed Sedeek
Abstract
An apparent delay is occurred in GPS signal due to both refraction and diffraction caused by the atmosphere. The second region of the atmosphere is the ionosphere. The ionosphere is significantly related to GPS and the refraction it causes in GPS signal is considered one of the main source of errors which must be eliminated to determine accurate positions. GPS receiver networks have been used for monitoring the ionosphere for a long time.
The ionospheric delay is the most predominant of all the error sources. This delay is a function of the total electron content (TEC). Because of the dispersive nature of the ionosphere, one can estimate the ionospheric delay using the dual frequency GPS.
In the current research our primary goal is applying Precise Point Positioning (PPP) observation for accurate ionosphere error modeling, by estimating Ionosphere delay using carrier phase observations from dual frequency GPS receiver. The proposed algorithm was written using MATLAB and was named VIDE program.
The proposed Algorithm depends on the geometry-free carrier-phase observations after detecting cycle slip to estimates the ionospheric delay using a spherical ionospheric shell model, in which the vertical delays are described by means of a zenith delay at the station position and latitudinal and longitudinal gradients.
Geometry-free carrier-phase observations were applied to avoid unwanted effects of pseudorange measurements, such as code multipath. The ionospheric estimation in this algorithm is performed by means of sequential least-squares adjustment.
Finally, an adaptable user interface MATLAB software are capable of estimating ionosphere delay, ambiguity term and ionosphere gradient accurately.
References
[1] Banville, S., P. Collins, W. Zhang, and R. B. Langley, Global and regional ionospheric corrections for faster PPP convergence, Navigation, vol. 61, no. 2, pp. 115–124, 2014.10.1002/navi.57Suche in Google Scholar
[2] Ciraolo, L., Azpilicueta, F., Brunini, C., Meza, A., and Radicella S. M.: Calibration errors on experimental Slant Total Electron Content (TEC) determined with GPS, Journal of Geodesy, vol. 81, no. 2, pp. 111–120, 2007.10.1007/s00190-006-0093-1Suche in Google Scholar
[3] Dahira Jsunehra: Validation of GPS receiver instrumental bias results for precise navigation. Indian Journal of Radio& space Physics, vol. 42, pp. 175–181, June 2013.Suche in Google Scholar
[4] Deng, Z., Bender, M., Dick, G., Ge, M., Wickert, J., Ramatschi, M., and Zou, X.: Retrieving tropospheric delays from GPS networks densified with single frequency receivers. Geophysical Research Letters, vol. 36, L19802, 2009. doi:10.1029/2009GL040018.Suche in Google Scholar
[5] Dengynu, L., Weijun, L., Xiaoxin, C., Dunshan, Y., Carrier-Aided Smoothing for Real Time Beidou Positioning. In: Proceedings of the 2012 International Conference on Information Technology and Software Engineering, Beijing, China, 8–10 Dec. 2012.Suche in Google Scholar
[6] El-Gizawy, M. L.: Development of An Ionosphere Monitoring Technique Using GPS Measurements for High Latitude GPS Users. Master of Science. University of Calgary, Canada, 2003.Suche in Google Scholar
[7] Guochang Xu: GPS Theory, Algorithms and Applications, Library of Congress Control Number: 2007929855. ISBN second edition 978-3-540-72714-9 Springer Berlin, Heidelberg, New York, 2007.Suche in Google Scholar
[8] Hofmann-Wellenhof, B., Lichtenegger H., and Walse, E.: GNSS Global Navigation Satellite Systems; GPS, Glonass, Galileo & more, Springer Wien, New York, 2008.Suche in Google Scholar
[9] Jakobsen J., Knudsen P., Jensen A.: Analysis of local ionospheric time varying characteristics with singular value decomposition, Journal of Geodesy vol. 85, no. 7, pp. 449456, 2010. doi:10.1007/s00190-010-0378-2. Special Issue on the 43rd ISCIE International Symposium on Stochastic.Suche in Google Scholar
[10] Komjathy, A.: Global Ionospheric Total Electron Content Mapping Using the Global Positioning System, Ph.D. dissertation, Department of Geodesy and Geomatics Engineering Technical Report No. 188, University of New Brunswick, Fredericton, New Brunswick, Canada, 248 pp., 1997.Suche in Google Scholar
[11] Leandro R. F.: Precise Point Positioning with GPS: A New Approach for Positioning, Atmospheric Studies, and Signal Analysis, Ph.D. dissertation, Department of Geodesy and Geomatics Engineering, Technical Report No. 267, University of New Brunswick, Fredericton, New Brunswick, Canada, 232 pp., 2009.Suche in Google Scholar
[12] Masaharu Ohashi, Taisuke Hattori, Yukihiro Kubo and Sueo Sugimoto: Multi-Layer Ionospheric VTEC Estimation for GNSS Positioning. In: special Issue on the 43rd ISCIE International Symposium on Stochastic Systems Theory and Its Applications-III, vol. 26, no. 1, pp. 16–24, 2013.Suche in Google Scholar
[13] Melbourne, W. G., The case for ranging in GPS based geodetic systems. In: Proceedings of the 1st international symposium on precise positioning with the global positioning system, Rockville, Maryland, pp. 373–386, 1985.Suche in Google Scholar
[14] Sedeek A. A., Doma M. I., Rabah M. and Hamama M. A.: Determination of Zero Difference GPS Differential Code Biasesfor Satellites and Prominent Receiver Types, Arabian journal of geosciences, vol. 10, January 2017.10.1007/s12517-017-2835-1Suche in Google Scholar
[15] Schaer, S.: Mapping and Predicting the Earth’s Ionosphere Using the Global Positioning System, PhD dissertation, Astronomical Institute, University of Berne, Switzerland, 205 pp., 1997.Suche in Google Scholar
[16] Stephens P., A. Komjathy, B. Wilson, and A. Mannucci, New leveling and bias estimation algorithms for processing COSMIC/FORMOSAT-3 data for slant total electron content measurements, Radio Sci., vol. 46, no. 6, pp. 1–8, Dec. 2016.10.1029/2010RS004588Suche in Google Scholar
[17] Wielgosz P., L. W. Baran, I. I. Shagimuratov and M. V. Aleshnikova, Latitudinal variations of TEC over Europe obtained from GPS observation, Annales Geophysicae, vol. 22, no. 2, 2004. doi:10.5194/angeo-22-405-2004.Suche in Google Scholar
[18] Zhang, B., Peter J. G. Teunessen, Yunbin, Y., Hongxing, Z. and Min, L., Joint estimation of vertical total electron content (VTEC) and satellite differential code biases (SDCBs) using low-cost receivers, J. Geod., vol. 2018, no. 92, pp. 401–413, 2018.10.1007/s00190-017-1071-5Suche in Google Scholar
[19] Zhao C., Yuan Y., Zhang B. and Min, L., Ionosphere Sensing With a Low-Cost, Single-Frequency, Multi-GNSS Receiver. IEEE Transactions on Geoscience and Remote Sensing, vol. 2018, no. 99, pp. 1–12, 2018.10.1109/TGRS.2018.2862623Suche in Google Scholar
© 2019 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Predicting orbit and clock corrections during their outage in real-time positioning using GPS, GLONASS and QZSS for natural hazard warning systems
- Vertical ionospheric delay estimation for single-receiver operation
- The stochastic model for Global Navigation Satellite Systems and terrestrial laser scanning observations: A proposal to account for correlations in least squares adjustment
- Robust external calibration of terrestrial laser scanner and digital camera for structural monitoring
- System identification of a robot arm with extended Kalman filter and artificial neural networks
- Construction of regional geoid using a virtual spherical harmonics model
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Predicting orbit and clock corrections during their outage in real-time positioning using GPS, GLONASS and QZSS for natural hazard warning systems
- Vertical ionospheric delay estimation for single-receiver operation
- The stochastic model for Global Navigation Satellite Systems and terrestrial laser scanning observations: A proposal to account for correlations in least squares adjustment
- Robust external calibration of terrestrial laser scanner and digital camera for structural monitoring
- System identification of a robot arm with extended Kalman filter and artificial neural networks
- Construction of regional geoid using a virtual spherical harmonics model
