非完全信息下无人机集群对抗研究综述  

A Review of the Research on UAV Swarm Confrontation under Incomplete Information

作　　者：薛健 赵琳 向贤财 吕科 宏晨 张宝琳 岩延 王泳 XUE Jian;ZHAO Lin;XIANG Xiancai;LÜKe;HONG Chen;ZHANG Baolin;YAN Yan;WANG Yong(School of Engineering Science,University of Chinese Academy of Sciences,Beijing 100049,China;Peng Cheng Laboratory,Shenzhen 518055,China;College of Robotics,Beijing Union University,Beijing 100101,China;College of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao 266061,China;College of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院大学工程科学学院,北京100049 [2]鹏程实验室,深圳518055 [3]北京联合大学机器人学院,北京100101 [4]青岛科技大学自动化与电子工程学院,青岛266061 [5]中国科学院大学人工智能学院,北京100190

出　　处：《电子与信息学报》2024年第4期1157-1172,共16页Journal of Electronics & Information Technology

基　　金：国家重点研发计划(2018AAA0100804)。

摘　　要：无人机集群以其具备的应用优势及发展前景,成为当前人工智能领域研究者关注的热点之一。而非完全信息下的无人机集群对抗技术,因其集群结构变化的高动态性以及环境信息复杂多变且不能完全感知的特点,成为对集群协同性与智能性要求最高的研究方向之一。其研究成果可以促进智能化无人系统的快速发展和广泛应用。该文全面回顾了非完全信息环境下无人机集群对抗研究的最新进展,按照包以德循环理论的思路将无人机集群对抗过程划分为态势评估、意图推断、任务规划与机动决策4个相互衔接的关键组成部分,并进一步将其细分为8个子研究目标。通过分析比较近年来的相关研究,着重阐述了无人机集群对抗领域各项任务的研究重点和难点以及已取得的成果,并讨论了无人机集群对抗技术所面临的挑战,包括大规模异构集群的协同控制、非完全信息的处理、复杂决策过程的建模以及实际应用任务的应对等。UAV(Unmanned Aerial Vehicle)swarm,with its application advantages and development prospects,has become one of the current hot spots of interest for researchers in the field of artificial intelligence.The UAV swarm confrontation technology under incomplete information has become one of the research directions with the highest requirements for swarm cooperativeness and intelligence due to the high dynamics of swarm structure changes and the complex and variable environmental information that cannot be fully perceived.Its research achievements can promote the rapid development and wide application of intelligent unmanned systems.This paper comprehensively reviews of the recent progress in the research of UAV swarm confrontation under incomplete information environments.According to the Observe-Orient-Decide-Act(OODA)loop theory,the UAV swarm confrontation process is divided into four interlocking key components of situation assessment,intention inference,mission planning,and maneuver decision,and is further subdivided into eight sub-research objectives.By analyzing and comparing the relevant research works in recent years,the research focuses and difficulties of various tasks in the field of UAV swarm confrontation and the achieved research results are highlighted,and the challenges faced by UAV swarm confrontation technology are discussed,including the cooperative control of large-scale heterogeneous swarms,the handling of incomplete information,the modeling of complex decision-making processes,and the tackling of practical application tasks.

关 键 词：无人机集群 非完全信息 态势评估 意图推断 任务规划 机动决策 

分 类 号：TN975[电子电信—信号与信息处理] TP391[电子电信—信息与通信工程] TP181[自动化与计算机技术—计算机应用技术] V279[自动化与计算机技术—计算机科学与技术] V249[航空宇航科学与技术—飞行器设计]