基于蝙蝠算法的无人机蜂群干扰研究
首发时间:2019-03-07
摘要:随着无人机( UAV)技术的不断发展,其作战样式逐渐向"蜂群"方面发展。本文在此基础上提出了蜂群应用的具体实现方法,即利用无人机蜂群搭载干扰机形成干扰波束对雷达进行大规模协同干扰,蜂群干扰机在使用过程中具备距离优势和空间分布优势。由于应用背景的实际要求,两无人机阵元间的距离远大于常规要求的半波长距离,导致栅瓣的出现以及能量难以集中等问题的出现。本文提出通过蝙蝠算法对蜂群阵列的综合优化来解决上述问题,通过仿真实验表明,无人机的位置优化可以去除栅瓣的影响,使得干扰能量更加集中。
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Research on UAV Swarm Interference based on Bat Algorithm
Abstract:With the continuous development of Unmanned Aerial Vehicle (UAV) technology,the combat mode of UAV has gradually shifted to "swarm".On this basis, this paper propose thatconcrete realization method of the application of UAV Swarm, i.e.UAV swarm carried jamming aircraft can conduct large-scale cooperative jamming on radar. UAV swarm,which obtain the advantages of distance and spatial distribution. Due to the application background of UAVs, the distance between the array antennas is much larger than the half-wavelength, resulting in the occurrence of grating lobes and the energy is difficult to concentrate. This paper propose that use bat algorithm to optimize position of UAVssolvethe above problems. And the simulation results show that position optimization of UAVscan solve the problem of energy concentration and grating lobes.
Keywords: Antenna pattern synthesis UAV swarm Bat algorithm
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