| 基于态势感知一致性的UAV集群分布式协同性能分析 |
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| 引用本文： | 高杨,李东生.基于态势感知一致性的UAV集群分布式协同性能分析[J].宇航学报,2018,39(10):1148-1156. |
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| 作者姓名： | 高杨 李东生 |
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| 作者单位： | 国防科技大学电子对抗学院，合肥 230037 |
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| 基金项目： | 国家自然科学基金（61179036） |
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| 摘 要： | 针对现有无人机集群分布式协同方法没有细致考虑态势感知过程，忽略了对抗环境下态势信息的不确定性对集群协同的影响，对协同性能缺乏量化分析等问题，提出基于态势感知一致性的无人机集群分布式协同方法，并分析协同性能。从集群协同作战角度分析协同方法的实质，考虑态势信息不确定性，给出集群态势感知一致性分析，建立态势觉察一致性、态势理解一致性等概念，并设计协同方法；建立协同时间、协同信息量等指标，分析指标特性，量化分析协同性能；在给定的仿真场景下，对比分析各协同方法性能。结果表明，所提方法协同性能较好，更切合对抗环境，对集群协同作战研究有一定的积极意义。
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| 关 键 词： | 无人机集群 分布式协同 态势感知 态势感知一致性 协同性能 |
| 收稿时间： | 2017-12-18 |
UAV Swarm Distributed Cooperative Performance Analysis Based on Situation Awareness Consensus |
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| GAO Yang,LI Dong sheng.UAV Swarm Distributed Cooperative Performance Analysis Based on Situation Awareness Consensus[J].Journal of Astronautics,2018,39(10):1148-1156. |
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| Authors: | GAO Yang LI Dong sheng |
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| Affiliation: | College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China |
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| Abstract: | The process of situation awareness has not been taken into account carefully by existing UAV swarm distributed cooperation methods. The influence from the uncertainty of situation information to swarm under the strong antagonistic environment is ignored and the quantitative analysis method is lacking. To solve these problems, a UAV swarm cooperative method based on situation awareness consensus is proposed and the performance of the method is analyzed. From the perspective of swarm cooperative operation, the essence of the cooperation method is studied. With the consideration of the uncertainty of battlefield situation information, the swarm situation awareness consensus is analyzed, and the situation perception consensus and situation comprehension consensus, etc., are put forward. Then the cooperation method is designed. The indexes, such as cooperation time, cooperation information quantity, are modeled. The properties of indicators are studied and the performances are analyzed. The proposed method is compared and analyzed with the existing methods in given scenarios. The results show that the proposed method is more effective and suitable for the battlefield environment and benefits for the study of UAV swarm cooperative combat. |
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| Keywords: | UAV swarm Distributed cooperation Situation awareness Situation awareness consensus Cooperation performance |
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