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作 者:彭玲 徐以涛 王海超 谷江春 丁国如 PENG Ling;XU Yitao;WANG Haichao;GU Jiangchun;DING Guoru(Armying Engineering University of PLA,Nanjing 210007,China)
机构地区:[1]陆军工程大学通信工程学院,江苏南京210007 [2]陆军工程大学,江苏南京210007
出 处:《移动通信》2022年第6期99-104,共6页Mobile Communications
基 金:国家科技创新2030“新一代人工智能”重点项目(2018AAA0102303);国家自然科学基金(62171462,U20B2038,61901520,61931011,62001514)。
摘 要:近年来,智能反射面和无人机技术在无线通信领域中的应用给无源干扰带来了一种新的思路。提出一个基于智能反射面的空地无源干扰系统,通过无人机搭载智能反射面对地面一对通信用户进行实时干扰。具体地,考虑智能反射面相位和幅值以及无人机空间位置限制,首先建立了通信用户对的接收功率之和最小化问题。进一步,提出了一种基于交替优化的联合优化算法对所提问题迭代求解。仿真结果表明,与基准方案相比,所提算法降低了通信用户对的接收功率之和,实现了高效空地无源干扰。In recent years, the application of intelligent reflective surface(IRS) and unmanned aerial vehicles(UAV) technologies in wireless communication field has brought a new idea to passive jamming. In this paper, an IRS-aided air-ground passive jamming system is proposed, which can jam a pair of communication users on the ground in a real-time manner through the UAV equipped with an IRS. Specifically, considering the phase and amplitude of IRS and the space position limitation of UAV, a problem is formulated to minimize the received power sum of communication user pairs. Furthermore, a joint optimization algorithm based on alternating optimization is proposed to solve the problem iteratively. Compared with the baseline algorithm, simulation results show that the proposed algorithm reduces the received power sum of communication user pairs, and realizes efficient air-ground passive jamming.
关 键 词:智能反射面 无源干扰 无人机 位置优化 半定松弛
分 类 号:TN929.5[电子电信—通信与信息系统]
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