A Study on a En-route Model of UTM Airspace for Small Unmanned Aerial Vehicles 


Vol. 43,  No. 2, pp. 363-370, Feb.  2018
10.7840/kics.2018.43.2.363


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  Abstract

Most of a small civil unmanned aerial vehicle (UAV) or unmanned aircraft system (UAS), generally called a drone, belongs to the unmanned aerial vehicle among ultra light aircrafts with a maximum takeoff weight of 150㎏ or less and should be operated in the G-grade airspace below altitude of 150 meter according to the Korean Aviation Act. In order to increase the usability of small UAVs and to ensure safety, it is necessary to technically improve flight time, collision detection and avoidance technology, and reliability as well as accuracy of navigation technology. In order to guarantee unmanned safety operations and to prevent accidents, it is necessary to elucidate the concept of UAS traffic management (UTM) and to study the core functions. In this paper, we propose a en-route model that can be used in UAV airspace handling by UTM which is expected to be airspace below altitude of 150 meter. And estimating the total system error (TSE) of UAV by utilizing performance based navigation (PBN) concept and technology for civil manned aircraft, a methodology for determining the safe separation distance among UAVs will be discussed.

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  Cite this article

[IEEE Style]

J. Bae and S. Lee, "A Study on a En-route Model of UTM Airspace for Small Unmanned Aerial Vehicles," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 2, pp. 363-370, 2018. DOI: 10.7840/kics.2018.43.2.363.

[ACM Style]

Joong-Won Bae and Sang-Jeong Lee. 2018. A Study on a En-route Model of UTM Airspace for Small Unmanned Aerial Vehicles. The Journal of Korean Institute of Communications and Information Sciences, 43, 2, (2018), 363-370. DOI: 10.7840/kics.2018.43.2.363.

[KICS Style]

Joong-Won Bae and Sang-Jeong Lee, "A Study on a En-route Model of UTM Airspace for Small Unmanned Aerial Vehicles," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 2, pp. 363-370, 2. 2018. (https://doi.org/10.7840/kics.2018.43.2.363)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880