无人机集群对抗是未来无人机作战的重要模式，它是一群无人机对另一群无人机进行拦截而形成的空中协作式的缠斗，对抗中无人机具有自组织、自适应特点和拟人思维属性，通过感知环境，对周围态势进行判断，依据一定的行为规则，采取攻击、避让、分散、集中、协作、援助等有利策略，使得在整体上涌现出集群对抗系统的动态特性。本文对近年来无人机集群对抗的研究进展进行综述，分析总结相关的关键技术，对研究思路和方法进行深入探讨，以期为从事无人机集群对抗建模研究提供参考。
Unmanned aerial vehicle (UAV) swarm confrontation will be an important combat mode for UAVs in the future. It is coordinated airborne dogfight between two adversary UAV swarms when one side attempts to intercept the other. UAVs in the conflict have the abilities of self-organization and self-adaption and the property of human-like thinking. By sensing environment, UAVs can evaluate their surrounding situation and take actions to their advantages, like target attack, evasion, separation, concentration, coordination, fire support, etc. according to their behavior regularities. The interaction process between UAVs and environments, as a whole, exhibites nonlinear dynamic characteristics UAV swarm confrontation is a nonlinear dynamic complex system and also is an emerging research field, therefore, it has received extensive attention. This paper reviews the recent research advances on UAV swarm confrontation, analyzes and summarizes its key techniques as well as discusses related study thoughts and approaches. The paper is also expected to be a reference to the research of modeling of UAV swarm confrontation.
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