基于网格无人机群干扰的无源窃听保密率最大化

C. O. Nnamani, Muhammad R. A. Khandaker, M. Sellathurai
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引用次数: 2

摘要

本文研究了在未知窃听者存在的情况下,为使无人机群的保密率最大化而进行的网格构造问题。特别是,无人机群在合法信道的零空间上进行协调波束形成,以干扰位于未知位置的窃听者。通过对合法接收机与无人机群之间的信道进行零化处理,得到了每架无人机的最优轨迹和干扰功率分配,实现了宽带单波束形成,提高了保密率。结果表明,所提出的无人机辅助干扰方案是有效的,并且在保密率达到饱和效应时,群中无人机的最佳数量是必要的。我们还展示了未知但受限的窃听者位置的最优半径。
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Secrecy Rate Maximization with Gridded UAV Swarm Jamming for passive Eavesdropping
This paper considers the grid formation of an unmanned aerial vehicle (UAV) swarm for maximizing the secrecy rate in the presence of an unknown eavesdropper. In particular, the UAV swarm performs coordinated beamforming onto the null space of the legitimate channel to jam the eavesdropper located at an unknown location. By nulling the channel between the legitimate receiver and the UAV swarm, we obtain an optimal trajectory and jamming power allocation for each UAV enabling wideband single ray beamforming to improve the secrecy rate. Results obtained demonstrate the effectiveness of the proposed UAV-aided jamming scheme as well as the optimal number of UAVs in the swarm necessary to observe a saturation effect in the secrecy rate. We also show the optimal radius of the unknown but constrained location of the eavesdropper.
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