딥러닝을 사용한 무인항공기 가시선 데이터링크 시스템 탑재 안테나 절체 방법

• Published in: 한국컴퓨터정보학회논문지 Vol. 23; no. 12; pp. 11 - 19
• Main Authors: 조세현(Se-Hyeon Jo), 이우신(Woo-Sin Lee), 김학준(Hack-Joon Kim), 진소연(So-Yeon Jin), 유인덕(In-Deok Yoo)
• Format: Journal Article
• Language: Korean
• Published: 한국컴퓨터정보학회 01.12.2018
• Subjects: 컴퓨터학; Deep learning; LOS; UAV; Datalink; Switching; Antenna
• ISSN: 1598-849X; 2383-9945
• DOI: 10.9708/jksci.2018.23.12.011

In the Unmanned Aerial Vehicle Line-Of-Sight datalink system, there is a possibility that the communication line is disconnected because line of sight can not be secured by one antenna due to changes in position and posture of the air vehicle. In order to prevent this, both top and bottom of air vehicle are equipped with antennas. At this time, if the signal can be transmitted and received by switching to an antenna advantageous for securing the line of sight, communication disconnection can be minimized. The legacy antenna switching method has disadvantages such that diffraction, fading due to the surface or obstacles, interference and reflection of the air vehicle are not considered, or antenna switching standard is not clear. In this paper, we propose an airborne antenna switching method for improving the performance of UAV LOS datalink system. In the antenna switching method, the performance of each of the upper and lower parts of the mounted antenna according to the position and attitude of the air vehicle is predicted by using the deep learning in an UAV LOS datalink system in which only the antenna except the receiver is duplicated. Simulation using flying test dataset shows that it is possible to switch antennas considering the position and attitude of unmanned aerial vehicle in the datalink system. KCI Citation Count: 0