Journal cover Journal topic
Annales Geophysicae An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 1.621 IF 1.621
  • IF 5-year value: 1.614 IF 5-year 1.614
  • CiteScore value: 1.61 CiteScore 1.61
  • SNIP value: 0.900 SNIP 0.900
  • SJR value: 0.910 SJR 0.910
  • IPP value: 1.58 IPP 1.58
  • h5-index value: 24 h5-index 24
  • Scimago H index value: 80 Scimago H index 80
Discussion papers | Copyright
https://doi.org/10.5194/angeo-2018-113
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review paper 25 Oct 2018

Review paper | 25 Oct 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Annales Geophysicae (ANGEO).

Vertical Ionosphere Delay Estimation using Zero Difference GPS Phase Observation

Ahmed Elsayed1, Ahmed Sedeek2, Mohamed Doma3, and Mostafa Rabah4 Ahmed Elsayed et al.
  • 1Faculty of Engineering, Menofia University, Egypt
  • 2Lecture at Higher Institute of Engineering and Technology, El-Behira, Egypt
  • 3Associate Professor at Faculty of Engineering, Menofia University, Egypt
  • 4Professor at Faculty of Engineering, Benha University, Egypt

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.

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.

Ahmed Elsayed et al.
Interactive discussion
Status: open (until 14 Dec 2018)
Status: open (until 14 Dec 2018)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Ahmed Elsayed et al.
Ahmed Elsayed et al.
Viewed
Total article views: 147 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
131 14 2 147 0 0
  • HTML: 131
  • PDF: 14
  • XML: 2
  • Total: 147
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 25 Oct 2018)
Cumulative views and downloads (calculated since 25 Oct 2018)
Viewed (geographical distribution)
Total article views: 147 (including HTML, PDF, and XML) Thereof 147 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 13 Nov 2018
Publications Copernicus
Download
Short summary
We have over viewed an algorithm which can be used to estimate ionospheric delays of GPS observations using single GPS receiver using a spherical ionospheric shell model. This Algorithm depends on the geometry-free carrier-phase observations after detecting cycle slip. The ionospheric estimation in this algorithm is performed by means of Sequential least-squares adjustment. This study is performed on ten IGS stations, and results of the ionosphere delay was compared with GAPS software results.
We have over viewed an algorithm which can be used to estimate ionospheric delays of GPS...
Citation
Share