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Examining the Accuracy of Network RTK and Long Base RTK Methods with Repetitive Measurements
Joint Authors
Baybura, Tamer
Tiryakioğlu, İbrahim
Uğur, Mehmet Ali
Solak, Halil İbrahim
Şafak, Şeyma
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Real-time kinematic (RTK) technique is important for mapping applications requiring short measure time, the distance between rover and base station, and high accuracy.
There are several RTK methods used today such as the traditional RTK, long base RTK (LBRTK), network RTK (NRTK), and precise point positioning RTK (PPP-RTK).
NRTK and LBRTK are popular with the advantage of the distance, the time, and accuracy.
In the present study, the NRTK and LBRTK measurements were compared in terms of accuracy and distance in a test network with 6 sites that was established between 5 and 60 km.
Repetitive NRTK and LBRTK measurements were performed on 6 different days in 2015-2017-2018 and additionally 4 campaigns of repetitive static measurements were carried out in this test network.
The results of NRTK and LBRTK methods were examined and compared with all relevant aspects by considering the results of the static measurements as real coordinates.
The study results showed that the LBRTK and NRTK methods yielded similar results at base lengths up to 40 km with the differences less than 3 cm horizontally and 4 cm vertically.
American Psychological Association (APA)
Baybura, Tamer& Tiryakioğlu, İbrahim& Uğur, Mehmet Ali& Solak, Halil İbrahim& Şafak, Şeyma. 2019. Examining the Accuracy of Network RTK and Long Base RTK Methods with Repetitive Measurements. Journal of Sensors،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1187447
Modern Language Association (MLA)
Baybura, Tamer…[et al.]. Examining the Accuracy of Network RTK and Long Base RTK Methods with Repetitive Measurements. Journal of Sensors No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1187447
American Medical Association (AMA)
Baybura, Tamer& Tiryakioğlu, İbrahim& Uğur, Mehmet Ali& Solak, Halil İbrahim& Şafak, Şeyma. Examining the Accuracy of Network RTK and Long Base RTK Methods with Repetitive Measurements. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1187447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187447