Research on UAV Swarm Interference Based on Improved Invasive Weed Optimization Algorithm

Abstract

With the continuous development of Unmanned Aerial Vehicle (UAV) technology, autonomous control systems and communication technologies, the combat mode of UAV has gradually shifted from single-platform to multi-platform operation adapting to complex battlefield environment, i.e. the mode of operation has gradually developed to ‘swarm’. On this basis, UAV swarm carried jamming equipment can conduct large-scale cooperative jamming on radar. UAV swarm, with low launch power, can be deployed in the enemy depth and thus obtain the advantages of distance and spatial distribution. This paper focuses on the formation of effective cooperative jamming beams for UAV swarm. Due to the application background of UAVs, the distance between the UAV array antennas is much larger than the half-wavelength, resulting in the occurrence of grating lobes and the energy is difficult to concentrate. And the above problems are solved through sparse array synthesis, which use improved invasive weed optimization (IIWO) algorithm to optimize position of UAVs. And the simulation results show that sparse array synthesis can solve the problem of energy concentration and grating lobes.