多功能RIS辅助隐蔽通信的无人机位置优化方法
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1.南京信息工程大学电子与信息工程学院 南京 210044;2.南京信息工程大学复杂环境智能保障技术教育部 重点实验室 南京 210044

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TN92

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国家重点研发计划项目(2021QY0700)、国家自然科学基金(62401269,U21B2003,62072250)、江苏省科技计划专项资金(基础研究计划自然科学基金)(BK20230415)、江苏省高等学校基础科学(自然科学)研究面上项目(23KJB120007)资助


Optimization of UAV position based on multifunctional RIS-assisted covert communication
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1.School of Electronic and Information Engineering, Nanjing University of Information Science and Technology,Nanjing 210044, China;2. Key Laboratory of Intelligent Support Technology in Complex Environment, Ministry of Education, Nanjing University of Information Science and Technology,Nanjing 210044, China

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    摘要:

    针对现有隐蔽通信方法通过视距链路来近似通信信道模型而导致性能评估不准确的问题,并且为了更好地适应现实世界的通信信道条件,构建了一种由配备多功能可重构智能面的无人机辅助的新型隐蔽通信模型。具体来说,该模型分析了视距和非视距混合链路的情况,研究了利用无人机配备多功能可重构智能面作为灵活中继,并通过优化无人机的飞行位置来增强信噪比和有效吞吐量。首先推导了混合信道模型的数学表达式;然后,将隐蔽约束从不完全伽马函数转换为与相对熵相关的约束,并相应地优化了无人机的传输功率和块长度;最后,通过分析在相关熵约束下的信噪比和有效吞吐量的功能特性,获得了无人机的最佳飞行位置。并且所提模型相比非视距链路信道,在最优飞行位置时信噪比提高了42%。大量数据结果表明所提出的模型在增强信噪比和有效吞吐量方面优于现有的工作。

    Abstract:

    To address the issue of inaccurate performance evaluation caused by approximating the communication channel model through line-of-sight links in existing covert communication methods, and to better adapt to real-world communication channel conditions, a novel covert communication model assisted by an unmanned aerial vehicle (UAV) equipped with a multifunctional reconfigurable intelligent surface is proposed. Specifically, based on a hybrid link of line-of-sight and non-line-of-sight, the model utilizes the multifunctional reconfigurable intelligent surface as a flexible relay and optimizes the UAV′s flying location to enhance the signal-to-noise ratio and effective throughput. The hybrid channel model expression is first derived. Then, the covert constraint is transformed from an incomplete gamma function to a constraint related to relative entropy, and the UAV′s transmission power and block length are correspondingly optimized. Finally, by analyzing the functional characteristics of SNR and effective throughput under the relative entropy constraints, the optimal flying location for the UAV is obtained. Compared with non-line-of-sight link channels, the proposed model improved the SNR by 42% at the optimal flight position. Extensive numerical results indicate that the proposed model outperforms existing works in enhancing SNR and effective throughput.

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王容,李云翔,张爽,田文,石怀峰.多功能RIS辅助隐蔽通信的无人机位置优化方法[J].电子测量技术,2026,49(2):45-56

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  • 在线发布日期: 2026-02-26
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