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作 者:石嘉 李安童 李赞[1] 肖什贵 魏庆 SHI Jia;LI Antong;LI Zan;XIAO Shigui;WEI Qing(State Key Laboratory of Integrated Services Networks,Xidian University,Xi’an 710071,China)
机构地区:[1]西安电子科技大学ISN国家重点实验室,西安710071
出 处:《电子与信息学报》2024年第5期1908-1919,共12页Journal of Electronics & Information Technology
基 金:国家重点研发计划(SQ2022YFC3300019)。
摘 要:该文研究了复杂环境条件下重大活动安保区域的电磁安全协同压制技术问题。首先采用了城市环境电波传播模型,建模分析了城市复杂电磁环境的特征。其次,针对高效电磁压制与有效避免有害干扰问题,利用势博弈方法设计电磁压制设备协同部署算法,基于此,提出了基于遗传算法的压制设备功率优化方法,实现了电磁压制设备协同工作下干扰功率的高效投送。仿真结果表明,所提出的电磁压制设备位置部署算法可获得与理论最优方法(即遍历算法)近似的优异性能,且运算复杂度更低;在保证相同干扰效果下,所提功率优化算法相较于传统干扰功率分配方法的传输功率降低了50%以上,实现了精准协同管控。The electromagnetic security cooperative suppression technology in the security area of major events under the complex urban environment is presented in this paper.Firstly,the complex urban electromagnetic environment is modeled by using the radio wave propagation model suitable for dense urban environment.Secondly,aiming at the problem of efficient electromagnetic suppression and effective avoidance of harmful interference,the potential game method is used to design the cooperative deployment algorithm of electromagnetic suppression equipment.Building upon this,the power optimization method of suppression equipment based on genetic algorithm is proposed to achieve the efficient delivery of interference power under the cooperative work of electromagnetic suppression equipment.The simulation results indicate that the proposed electromagnetic suppression equipment deployment algorithm can obtain outstanding performance similar to the theoretical optimal method(i.e.,traversal algorithm),with lower computational complexity.Moreover,under identical interference effectiveness,the proposed power optimization algorithm reduces transmission power by over 50%compared to the traditional interference power allocation methods,thereby achieving precise collaborative control.
关 键 词:通信干扰 电磁管控 重大安保活动 博弈论 遗传算法
分 类 号:TN975[电子电信—信号与信息处理]
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