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Performance Analysis of Network-RTK Techniques for Drone Navigation considering Ionospheric Conditions
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Recently, an accurate positioning has become the kernel of autonomous navigation with the rapid growth of drones including mapping purpose.
The Network-based Real-time Kinematic (NRTK) system was predominantly used for precision positioning in many fields such as surveying and agriculture, mostly in static mode or low-speed operation.
The NRTK positioning, in general, shows much better performance with the fixed integer ambiguities.
However, the success rate of the ambiguity resolution is highly dependent on the ionospheric condition and the surrounding environment of Global Navigation Satellite System (GNSS) positioning, which particularly corresponds to the low-cost GNSS receivers.
We analyzed the effects of the ionospheric conditions on the GNSS NRTK, as well as the possibility of applying the mobile NRTK to drone navigation for mapping.
Two NRTK systems in operation were analyzed during a period of high ionospheric conditions, and the accuracy and the performance were compared for several operational cases.
The test results show that a submeter accuracy is available even with float ambiguity under a favorable condition (i.e., visibility of the satellites as well as stable ionosphere).
We still need to consider how to deal with ionospheric disturbances which may prevent NRTK positioning.
American Psychological Association (APA)
Bae, Tae-Suk& Kim, Minho. 2018. Performance Analysis of Network-RTK Techniques for Drone Navigation considering Ionospheric Conditions. Journal of Sensors،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1201528
Modern Language Association (MLA)
Bae, Tae-Suk& Kim, Minho. Performance Analysis of Network-RTK Techniques for Drone Navigation considering Ionospheric Conditions. Journal of Sensors No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1201528
American Medical Association (AMA)
Bae, Tae-Suk& Kim, Minho. Performance Analysis of Network-RTK Techniques for Drone Navigation considering Ionospheric Conditions. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1201528
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201528