一种基于协同电子对抗的无人机蜂群编队方法

A method of UAV swarm formation based on cooperative electronic countermeasures

针对未来复杂战场环境中无人机蜂群面对敌电子战设备进行有效的电子对抗和隐身突防的问题,从阵列分析与综合的角度提出了一种基于多目标优化的无人机蜂群编队方法。将无人机蜂群看作三维稀疏阵列,对无人机蜂群的辐射与散射问题进行综合分析;将无人机蜂群的协同探测与协同干扰等效为整个阵列辐射方向图的综合问题,无人机蜂群的协同隐身等效为散射阵列综合问题,从而将无人机蜂群的协同对抗问题转化为一个多目标优化的无人机蜂群编队问题。以蜂群的辐射和散射作为优化目标,利用遗传算法对无人机的编队进行优化仿真。理论分析与实验仿真结果表明,该方法能够有效提高无人机蜂群的协同对抗能力,在提高探测与干扰能力的基础上,降低了无人机蜂群的雷达散射特性,提高了无人机蜂群的战场生存能力。

Aiming to improve the ability of unmanned aerial vehicles(UAVs) in electronic countermeasures and stealth against enemy’s sensor equipment in complex battlefield environment, a method for UAV swarm formation is proposed based on multi-objective optimization in aspects of array analysis and synthesis. Regarding UAV swarm as a three-dimensional sparse array, the collaborative detection and cooperative jamming of UAV swarm is equivalent to the comprehensive analysis of the entire array radiation pattern, while the collaborative stealth of UAV swarm is equivalent to the scattering array synthesis. Then, the UAV swarm collaborative problem is transformed into a multi-objective optimization problem. The radiation and scattering patterns of UAV swarm can be treated as optimization goals, and the multi-objective optimization problem will be solved with the genetic algorithm(GA). The theoretical analysis and experimental simulation results show that the formation method can effectively improve the cooperative countermeasure ability of UAV swarm, which can improve the detection and jamming ability and reduce the radar scattering characteristics of UAV swarm.