Civil UAV Path Planning Algorithm for Considering Connection with Cellular Data Network.pdf

Civil UAV Path Planning Algorithm for Considering Connection with Cellular Data Network.pdf

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Civil UAV Path Planning Algorithm for Considering Connection with Cellular Data Network

Civil UAV Path Planning Algorithm for Considering Connection with Cellular Data Network Ting-Yun Chi , Yi Ming, Tseng , Sy-Yen Kuo Graduate Institute of Electrical Engineering National Taiwan University Taipei, Taiwan (R.O.C.) louk.chi@, ,sykuo@.tw Chih-Chiun Liao Department of Aeronautics and Astronautics National Cheng Kung University Taipei, Taiwan (R.O.C.) .tw Abstract—The UAV is used in modern war widely. The military can control the UAV and send image to remote base in time through satellite link. Currently the Civil UAV use the wireless analog video and RF control signal to provides similar function as a recon drone. However the wireless station has its communication limitation – range. Most of the people use 2.4G to replace the satellite communication. We try to use 3G communication for civil UAV to extend the service range to “unlimited”. We design a path planning algorithm for considering connection with cellular data network. By our algorithm, the UAV will try to avoid fly across no-signal area. With our idea, we can provide low cost civil UAV service for various applications. Keywords—Cellular Network; UAV; Path Planning . I. INTRODUCTION In today’s war, the military control the UAV and send image to back base in time through satellite link as Figure 1. First-person view (FPV) flight is a type of remote-control (RC) flying that has grown in popularity in recent years. It involves mounting a small video camera and analog television transmitter on an RC aircraft and flying by means of a live video down-link, commonly displayed on video goggles or a portable LCD screen. It is only limited by the range of the remote control and video transmitter. We try to use 3G communication for civil UAV to extend the service range to “unlimited”. However the network‘s coverage is not perfect in the real world as Figure 2. When the UAV fly across the no- signal area as Figure 3 – we will lose the com

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