UAV Swarm Cooperative Situation Perception Consensus Evaluation

GAO Yang; LI Dong-sheng; LIU Xiang

doi:10.3969/j.issn.0372-2112.2019.01.025

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UAV Swarm Cooperative Situation Perception Consensus Evaluation

更新时间：2025-07-16

- UAV Swarm Cooperative Situation Perception Consensus Evaluation
- Acta Electronica Sinica Vol. 47, Issue 1, Pages: 190-196(2019)
- 作者机构：
  
  国防科技大学电子对抗学院,安徽,合肥,230037
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2019.01.025
  CLC： TP391TP301
- Published Online：25 January 2019，
  
  Published：2019
- 稿件说明：
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GAO Yang, LI Dong-sheng, LIU Xiang. UAV Swarm Cooperative Situation Perception Consensus Evaluation[J]. Acta Electronica Sinica, 2019, 47(1): 190-196.
DOI：

GAO Yang, LI Dong-sheng, LIU Xiang. UAV Swarm Cooperative Situation Perception Consensus Evaluation[J]. Acta Electronica Sinica, 2019, 47(1): 190-196. DOI： 10.3969/j.issn.0372-2112.2019.01.025.

摘要

无人机集群协同态势感知一致性是影响集群协同决策控制的重要因素，已有集群态势感知研究集中在多传感器态势数据融合，对态势感知一致性的讨论不充分，本文对集群协同态势觉察一致性评估方法进行设计.结合集群协同作战特点，分析集群协同态势感知一致性；建立集群协同态势觉察一致性评估模型，指出态势觉察一致性的可用情况；考虑战场信息的不确定性、指标的相关性等因素，提出基于非线性处理和指标变权的区间数形式下的态势觉察一致性计算方法.分析表明，与基于组合赋权的方法相比，本文方法在表示精度、差异度等方面有较好表现，可用于集群协同作战仿真和集群系统优化设计等研究.

Abstract

Unmanned aerial vehicle(UAV) swarm cooperative situation awareness(SA) consensus plays a key role in swarm cooperative decision and control

and the existing studies of SA focus on multi-sensors situation data fusion

but the discuss of SA consensus is not sufficient.The evaluation method of swarm cooperative situation perception consensus is designed.Combined with the characteristics of swarm cooperative engagement

the swarm cooperative SA consensus is analyzed.The swarm cooperative situation perception consensus analysis models are established and the possible usages are given.Considering the uncertainty of battlefield information and the relevance of indexes

we design the consensus calculation method based on nonlinear dispose and the variable weights.The calculating example analysis shows that compared with the method via combination weight

the proposed method can have a better performance in the accuracy and distinction

and can be used for the study of swarm cooperative engagement simulation and the swarm system optimization design.

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