The invention discloses an unmanned aerial vehicle position optimization method under an NOMA covert communication system, and relates to the technical field of unmanned aerial vehicle communication. An unmanned aerial vehicle base station sends two kinds of signals to two ground users by adopting a superposition coding technology, the two ground users access the system in a non-orthogonal multiple access mode, and on the premise of meeting the concealment and reliability of communication between an unmanned aerial vehicle and a near-end user, an improved marine predator algorithm is adopted to search for the optimal position of the unmanned aerial vehicle base station, so that the unmanned aerial vehicle base station is optimized. And the hidden throughput of the system is maximized. According to the method, a marine predator algorithm is improved on the basis of a self-adaptive search strategy and a sine and cosine optimization algorithm, the defect that the marine predator algorithm is prone to falling into local optimum is effectively overcome, and the convergence speed is increased.
本发明公开了一种NOMA隐蔽通信系统下的无人机位置寻优方法,涉及无人机通信技术领域。本发明由无人机基站采用叠加编码技术向两个地面用户发送两种信号,两个地面用户以非正交多址的方式接入系统,在满足无人机与近端用户通信隐蔽性和可靠性的前提下,采用改进的海洋捕食者算法,寻找无人机基站最佳位置,最大化系统隐蔽吞吐量。该方法基于自适应搜索策略和正余弦优化算法对海洋捕食者算法进行改进,有效改进了海洋捕食者算法容易陷入局部最优的弊端,并提高了收敛速度。
Unmanned aerial vehicle position optimization method under NOMA covert communication system
一种NOMA隐蔽通信系统下的无人机位置寻优方法
2025-01-24
Patent
Electronic Resource
Chinese
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