Investigation of the capability of multi-GNSS PPP-AR method in detecting permanent displacements

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2022-10-19 DOI:10.26833/ijeg.1140959
Mert Bezcioglu, Tayyib Ucar, C. O. Yigit
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Abstract

Although the traditional-Precise Point Positioning (PPP) technique, may provide a positioning as precise as the relative positioning technique in long-term observation durations since it has the inability to provide high-precise positioning due to ambiguity problem in short-term observations, the interest in the PPP-AR (Ambiguity Resolution) technique has increased. The main purpose of this study is to investigate the performance of traditional-PPP and PPP-AR techniques for monitoring permanent displacements, considering different observation durations based on different satellite combinations. For this purpose, a displacement simulator that can move precisely in one direction and in the horizontal plane over a small distance was used. 6 different displacements were simulated, and all collected GNSS observations were evaluated with traditional-PPP, PPP-AR, and relative methods. Moreover, these methods were examined by considering the Global Positioning System (GPS), European Global Navigation Satellite System (Galileo), and GPS/Galileo satellite combinations. The findings clearly demonstrate that the superiority of the PPP-AR technique over the traditional-PPP technique in short-term observation durations and emphasize that the contribution of multi-GNSS (Global Navigation Satellite System) combinations to both methods.
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多gnss PPP-AR方法检测永久位移的能力研究
虽然传统的精确点定位(PPP)技术在长期观测时间内可以提供与相对定位技术一样精确的定位,但由于短期观测存在模糊问题而无法提供高精度定位,因此对PPP- ar(模糊分辨率)技术的兴趣日益增加。本研究的主要目的是研究传统ppp和PPP-AR技术监测永久位移的性能,考虑基于不同卫星组合的不同观测持续时间。为此,使用了一个位移模拟器,可以在一个方向上精确地移动,并在水平面上移动一小段距离。模拟了6个不同的位移,并使用传统的ppp、PPP-AR和相关方法对所有收集到的GNSS观测值进行了评估。此外,还考虑了全球定位系统(GPS)、欧洲全球导航卫星系统(伽利略)和GPS/伽利略卫星组合,对这些方法进行了检验。研究结果清楚地表明,PPP-AR技术在短期观测持续时间上优于传统的ppp技术,并强调了多gnss(全球导航卫星系统)组合对两种方法的贡献。
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CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
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