Single Point Positioning Software with GNSS Code (Pseudorange) Observations: KTUN_SPP

被引:0
|
作者
Ayso, Emre [1 ]
Kahveci, Muzaffer [1 ]
机构
[1] Konya Tekn Univ, Muhendislik & Doga Bilimleri Fak, Harita Muhendisligi Bolumu, Konya, Turkiye
来源
KONYA JOURNAL OF ENGINEERING SCIENCES | 2022年 / 10卷 / 03期
关键词
GPS; Galileo; KTUN_SPP; GPS; DELAY; PERFORMANCE; GLONASS;
D O I
10.36306/konjes.1112955
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Nowadays, positioning application with single-frequency GNSS receivers is heavily preferred in many areas such as defense industry, navigation devices, smart personal devices, etc. On the other hand, multi-frequency receivers and phase observations are generally preferred in engineering applications that require high accuracy such as cartography, earthquake prediction and deformation analysis studies, numerical weather forecasting, etc. Therefore, today, smart phones, smart watches or any location-based real-time navigation services are equipped with low-cost receivers. In this context, it has become very important to improve the accuracy obtained from the Single Point Positioning (SPP) technique, where civilian (C/A: Coarse Acquisition) code observations are used. Due to the increasing use of single point positioning using single-frequency code observations, a GPS+Galileo-enabled software named KTUN_SPP (Konya Technical University_Single Point Positioning) has been prepared within the scope of a master's thesis that forms the basis of this article. Within the scope of the software, the accuracies that can be obtained by single point positioning were investigated by using C1 code observations at L1 and E1 frequencies of GPS and Galileo satellites. In addition, a user-friendly interface is designed to provide the user with the opportunity to perform any computation scenarios they wish. In order to test the performance of the KTUN_SPP software, GPS, Galileo and GPS+Galileo SPP scenarios were applied using 24-hour data sets from 7 IGS stations. And the results were compared with the results obtained from the "CenterPoint RTX Post-Processing" service used for real-time location determination on a global scale.
引用
收藏
页码:578 / 598
页数:21
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