Abstract:This study examines the effect of baseline length on accuracy and precision in Network Real-Time Kinematic (NRTK) positioning and develops an experimental mathematical model to express this effect. The study also measures the performances of the Flaechen Korrektur Parameter (FKP) and Virtual Reference Stations (VRS) methods at different baseline lengths. The study makes use of the stations that form two Continuously Operating Reference Station (CORS) networks, one of which is local and the other nation… Show more
“…Yerel CORS ağı verileri deformasyon analizi ve yapı sağlığı izleme çalışmalarında kullanılmıştır (Akpınar, Aykut, Dindar, Gürkan, & Gülal, 2017;Gümüş & Selbesoğlu, 2019). Yerel CORS ağı kullanılarak baz mesafesinin doğruluk, presizyon ve tamsayı belirsizlik çözüm oranı üzerindeki etkisi araştırılmış ve GNSS ölçmelerinde baz mesafesi ile ölçmelere ait varyans değeri arasında matematiksel bir model oluşturulmuştur (Gökdaş & Özlüdemir, 2020a). Yerel CORS ağından türetilen troposfer gecikme değerleri ile su buharı kestirimleri yapılmış ve doğrulukları analiz edilmiştir (Gökdaş & Özlüdemir, 2020b).…”
Section: Yerel Cors Ağlarının Bilimsel çAlışmalara Katkıları Ve Entegrasyonuunclassified
“…Yerel CORS ağı verileri deformasyon analizi ve yapı sağlığı izleme çalışmalarında kullanılmıştır (Akpınar, Aykut, Dindar, Gürkan, & Gülal, 2017;Gümüş & Selbesoğlu, 2019). Yerel CORS ağı kullanılarak baz mesafesinin doğruluk, presizyon ve tamsayı belirsizlik çözüm oranı üzerindeki etkisi araştırılmış ve GNSS ölçmelerinde baz mesafesi ile ölçmelere ait varyans değeri arasında matematiksel bir model oluşturulmuştur (Gökdaş & Özlüdemir, 2020a). Yerel CORS ağından türetilen troposfer gecikme değerleri ile su buharı kestirimleri yapılmış ve doğrulukları analiz edilmiştir (Gökdaş & Özlüdemir, 2020b).…”
Section: Yerel Cors Ağlarının Bilimsel çAlışmalara Katkıları Ve Entegrasyonuunclassified
“…Corresponding to it, ionospheric delay presents significant uncertainty, especially during periods of ionospheric activity, resulting in suboptimal modeling outcomes. Ionospheric delay modeling residual can adversely affect the initialization speed, positioning accuracy, and reliability of real-time kinematic (RTK) positioning [1][2][3]. With the modernization of global navigation systems [4,5], BDS-3 and Galileo satellite systems support the broadcast of five-frequency signals.…”
The positioning performance of the Global Navigation Satellite System (GNSS) network real-time kinematic (NRTK) depends on regional atmospheric error modeling. Under normal atmospheric conditions, NRTK positioning provides high accuracy and rapid initialization. However, fluctuations in atmospheric conditions can lead to poor atmospheric error modeling, resulting in significant atmospheric biases that affect the positioning accuracy, initialization speed, and reliability of NRTK positioning. Consequently, this decreases the efficiency of NRTK operations. In response to these challenges, this paper proposes a fast and reliable NRTK positioning method based on sequential ambiguity resolution (SAR) of multi-frequency combined observations. This method processes observations from extra-wide-lane (EWL), wide-lane (WL), and narrow-lane (NL) measurements; performs sequential AR using the LAMBDA algorithm; and subsequently constrains other parameters using fixed ambiguities. Ultimately, this method achieves high precision, rapid initialization, and reliable positioning. Experimental analysis was conducted using Continuous Operating Reference Station (CORS) data, with baseline lengths ranging from 88 km to 110 km. The results showed that the proposed algorithm offers positioning accuracy comparable to conventional algorithms in conventional NRTK positioning and has higher fixed rate and positioning accuracy in single-epoch positioning. On two datasets, the proposed algorithm demonstrated over 30% improvement in time to first fix (TTFF) compared to conventional algorithms. It provides higher precision in suboptimal positioning solutions when conventional NRTK algorithms fail to achieve fixed solutions during the initialization phase. These experiments highlight the advantages of the proposed algorithm in terms of initialization speed and positioning reliability.
“…The performance and use of the CORS were examined based on the results obtained near or below the wooded area. In Gökdaş and Özlüdemir (2020), two CORS networks in Turkey were employed to study the effect of the FKP and VRS correction methods on accuracy and precision at different base lengths in NRTK positioning. An experimental mathematical model was developed to express this effect.…”
The network real-time kinematic (NRTK) positioning technique is currently used in numerous applications. The aim of this study was to better understand the process of obtaining accurate positions by statistically evaluating the significance of differences between repeated measurements for a single point at different times of the day (morning, noon, and evening) using the Virtual Reference Station (VRS), Flächen Korrektur Parameter (FKP), and Master Auxiliary Concept (MAC) correction methods. An analysis of variance (ANOVA) was used to this effect. Further analysis was carried out to determine the accuracy and precision of the coordinate differences obtained via a static GNSS (global navigation satellite system) and by averaging the repeated measurements. It was determined that the accuracy and precision of the vertical component of the coordinates were lower than that of the horizontal component. The FKP correction method yielded the best results. It was observed that the accuracy and precision of the measurements taken at noon were the lowest. The ANOVA showed that the differences between repeated measurements were statistically significant and that there were outlier measurements. The results of this study are important for NRTK users to be able to statistically evaluate different measurement configurations and obtain positions with the desired accuracy and precision.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.