面向隐蔽侦察任务的无人机中继通信频谱资源优化方法
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廖乃稳(1992—),男,硕士研究生,研究方向为通信与信息处理;

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TP925

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Spectrum resource optimization method of UAV-relaying communication for covert reconnaissance mission
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    摘要:

    战场环境下,无人机因其自身辐射被敌侦收而产生安全威胁,并容易对其他通信网络产生干扰。为提高无人机安全执行战场侦察任务时的侦察信息传输速率,提出面向隐蔽侦察任务的无人机中继通信频谱资源优化方法,通过功率控制避免被敌方反侦测,并利用无人机中继增大系统通信速率,通过频谱资源优化达到无有害干扰通信的目的。同时提出了基于块坐标下降法与连续凸近似法相结合的频谱资源联合优化算法,通过对带宽分配、发射功率和无人机轨迹等变量的联合优化获得次优解。仿真结果表明:与基准策略相比,联合优化算法具有更高的信息传输速率。

    Abstract:

    In the battlefield environment, unmanned aerial vehicles (UAVs) pose a security threat due to their own radiation being detected by the enemy, and may interfere with other communication networks. To improve the transmission rate when UAV safely executes reconnaissance mission in battlefield, spectrum resource optimization method of UAV-relaying communication was proposed. Through power control and UAV-relaying, reconnaissance system could avoid being detected by the enemy and increase the transmission rate at the same time. Spectrum resource optimization achieved the purpose of communication without harmful interference. Through the joint optimization of bandwidth allocation, transmission power and UAV trajectory, a spectrum resource optimization algorithm based on block coordinate descent and successive convex approximation method was proposed to obtain the suboptimal solution. Simulation results verified that, compared with the benchmark strategy, the joint optimization algorithm had a higher information transmission rate.

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  • 在线发布日期: 2022-11-28
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