Abstract
Although the Relative Global Navigation Satellite System (GNSS) positioning
technique provides high accuracy, it has several drawbacks. The scarcity of
control points, the long baselines, and using of ultra-rabid and rabid products
increased position errors. This study has designed a New MATLAB Program that
helps users automatically select suitable IGS stations related to the baseline
lengths and the azimuth between GNSS points and IGS stations. This study
presented criteria for the length of the baselines used in Egypt and an advanced
estimated accuracy before starting the project. The experimental test studies
the performance of the position accuracy related to the relation between three
factors: observation session, final, rabid, and ultra-rabid products, and the
baseline lengths. Ground control point mediates Egypt was selected as a test
point. Nine surrounding IGS stations were selected as reference stations, and
the coordinates of the tested point were calculated based on them. Baselines
between the tested point and the IGS stations were classified regarding proposal
criteria. The coordinates of the tested point were obtained in different
observation sessions (0.5, 1, 2, 4, 5, 6, 7, 7.5 h). The results indicated that
the lengths of the baseline in Egypt were classified short (less than 600 km),
medium (600–1,200 km), and long (greater than 1,200 km) and required a
minimum observation time of 4, 5, and 7 h to obtain accuracy 10, 19, 48 mm
sequentially. The position accuracy was superior for the rapid and the final
than the ultra-rapid products by 16%. A short baseline was at the best case;
there was a performance in position accuracy with a 57% deduction in observation
time compared with the long baseline.
Publisher
The Korean Space Science Society
Subject
General Earth and Planetary Sciences,General Physics and Astronomy
Reference25 articles.
1. Bakula M, Uradziński M, Krasuski K, Performance of DGPS
smartphone positioning with the use of P(L1) vs. P(L5) pseudorange measurements,
Remote Sens. 14, 929 (2022). 10.3390/rs14040929
2. Chu FY, Yang M, GPS/Galileo long baseline computation: method and
performance analyses, GPS Solut. 18, 263-272 (2014). 10.1007/s10291-013-0327-7
3. Chyad H, Al-Saedi FA, A novel aircraft and missile accurate
positioning and tracking system for military and intelligence using global
satellite networks, AAIA J. 25, 0891-0899 (2018). 10.2514/6.2018-0891
4. Dawooda ESN, Mustafab MT, Alic AHA, Predicted geodetic reference
system for Baghdad city with aided international terrestrial reference frame
(ITRF08), Am. Sci. Res. J. Eng. Technol. Sci. 54, 97-110
(2019).
5. Elshambaky HT, Kaloop MR, Hu JW, A novel three-direction datum
transformation of geodetic coordinates for Egypt using artificial neural network
approach, Arab J. Geosci. 11, 110 (2018). 10.1007/s12517-018-3441-6