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[an error occurred while processing this directive]灾区无人机救援系统中基于凸包理论的无人机部署算法
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魏妍(1981—),女,河南驻马店人,讲师,硕士,研究方向:计算机信息与智能信息处理。 |
收稿日期: 2021-10-22
网络出版日期: 2025-02-25
基金资助
河南省高等学校重点科研资助项目(18A520039)
Convex Hull-based Deployment of UAV Algorithm in Unmanned Aerial Vehicle Rescue System in Disaster Area
Received date: 2021-10-22
Online published: 2025-02-25
因机动灵活、操作简单,无人机(unmanned aerial vehicle, UAV) 被广泛应用于应急救援系统。为此,提出基于测距的分布式UAV部署算法(RDUM)。与传统的部署算法不同,RDUM算法不再假设地面终端用户(ground terminal, GT)的位置信息是已知信息。RDUM算法只需通过测量接收信号值,估计UAV与GT间距离,然后再利用这些距离数据,并结合凸包理论,部署UAV,使UAV与GT间距离最小。同时,RDUM算法为分布式算法,每个UAV可独立运行,易部署。仿真结果表明,RDUM算法能够降低UAV与GT间距离,提高GT端的信息容量。
魏妍 , 魏长宝 . 灾区无人机救援系统中基于凸包理论的无人机部署算法[J]. 弹箭与制导学报, 2022 , 42(6) : 26 -31 . DOI: 10.15892/j.cnki.djzdxb.2022.06.005
Unmanned aerial vehicle (UAV) is widely used in disaster area due to their flexibility and simple operation. Therefore, ranging-base deployment of UAV (RDUM) algorithm is proposed in this paper. Instead of assuming that the locations of users are known in traditional deployment algorithm, RDUM algorithm only requires the UAV to measure the received signal strength and ranging. Using these ranging data and combining with convex hull theory, UAV is deployed to minimize the distance between UAV and GT. Moreover, RDUM algorithm is decentralized, that is to say, it runs on each individual drone independently, and easy to implement in real time. Simulation results show that the proposed algorithm shorten the average distance between UAV and GT, and improve the average capacity at GT.
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