无人机集群协同态势觉察一致性评估

doi:10.3969/j.issn.0372-2112.2019.01.025

电子学报 ›› 2019, Vol. 47 ›› Issue (1): 190-196.DOI: 10.3969/j.issn.0372-2112.2019.01.025

无人机集群协同态势觉察一致性评估

高杨, 李东生, 柳向

国防科技大学电子对抗学院, 安徽合肥 230037

收稿日期:2017-12-12 修回日期:2018-03-20 出版日期:2019-01-25
- 通讯作者:
- 李东生
- 作者简介:
- 高杨男,1992年生于安徽蚌埠.现为国防科技大学电子对抗学院博士研究生.主要研究方向为集群态势感知与智能决策、信息融合.E-mail:gao_yang_mail@163.com;柳向男,1989年生于河南商丘,现为国防科技大学电子对抗学院博士研究生.主要研究方向为组网雷达干扰.
- 基金资助:
- 国家自然科学基金 (No.61179036）; 国防科技创新特区基金 (No.17-163-11-ZT-004-014-02）

UAV Swarm Cooperative Situation Perception Consensus Evaluation

GAO Yang, LI Dong-sheng, LIU Xiang

College of Electronic Engineering, National University of Defense Technology, Hefei, Anhui 230037, China

Received:2017-12-12 Revised:2018-03-20 Online:2019-01-25 Published:2019-01-25
- Supported by:
- National Natural Science Foundation of China (No.61179036); Fund for National Defense Science and Technology Innovation (Special Zone Fund) (No.17-163-11-ZT-004-014-02)

摘要/Abstract

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.

关键词: 无人机, 无人机集群, 态势感知, 态势觉察, 态势感知一致性, 一致性评估

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.

Key words: unmanned aerial vehicle (UAV), UAV swarm, situation awareness, situation perception, situation awareness consensus, consensus evaluation

中图分类号:

TP391
TP301

高杨, 李东生, 柳向. 无人机集群协同态势觉察一致性评估[J]. 电子学报, 2019, 47(1): 190-196.

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

参考文献

[1] Ramirez A C,Bello O G,R-Moreno M D,et al.Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms[J].Soft Computing,2017,21(17):4883-4900.
[2] 尹高扬,周绍磊,吴青坡.基于改进RRT算法的无人机航迹规划[J].电子学报,2017,45(7):1764-1769. YIN Gao-yang,ZHOU Shao-lei,WU Qing-po.An improved RRT algorithm for UAV path planning[J].Acta Electronica Sinica,2017,45(7):1764-1769.(in Chinese)
[3] D'Aniello G,Gaeta A,Loia V,et al.A granular computing framework for approximate reasoning in situation awareness[J].Granular Computing,2017,2(3):141-158.
[4] 张东戈,孟辉,赵慧赟.态势感知水平的解析化度量模型[J].系统工程与电子技术,2016,38(8):1808-1815. ZHANG Dong-ge,MENG Hui,ZHAO Hui-yun.Analytical measurement model of situation awareness[J].System Engineering and Electronics,2016,38(8):1808-1815.(in Chinese)
[5] Alhussain T.Assessinginformation quality of blackboard system[J].International Journal of Computer,2017,25(1):1-7.
[6] Arazy O,Kopak R,Hadar I.Heuristicprinciples and differential judgments in the assessment of information quality[J].Journal of the Association for Information Systems,2017,18(5):403-432.
[7] 房坚,王钺,袁坚.基于集合距离的信息优势度量方法[J].系统工程与电子技术,2017,39(1):114-119. FANG Jian,WANG Yue,YUAN Jian.Measurement of information superiority based on set distance[J].System Engineering and Electronics,2017,39(1):114-119.(in Chinese)
[8] Endsley M R.Situation awareness misconceptions and misunderstandings[J].Journal of Cognitive Engineering and Decision Making,2015,9(1):4-32.
[9] Stanton N A,Salmon P M,Walker G H,et al.State-of-science:situation awareness in individuals,teams and systems[J].Ergonomics,2017,60(4):449-466.
[10] Wu J,Cao Y,Shi X,et al.Research of cooperative control based on multiple UAVs secure communications[A].Proceeding of IEEE International Conference on Instrumentation and Measurement,Computer,Communication and Control[C].Qinhuangdao,China:IEEE,2015.135-140.
[11] 张才坤,朱战霞,冯琦,等.基于区间数雷达图的可视化空战威胁评估[J].系统工程与电子技术,2016,38(5):1052-1058. ZHANG Cai-kun,ZHU Zhan-xia,FENG Qi,et al.Visualization threat assessment for air combat based on interval-radar chart[J].System Engineering and Electronics,2016,38(5):1052-1058.(in Chinese)
[12] 张耀天,张旭成,贾明顺,等.基于层次分析法的自适应决策评价方法[J].北京航空航天大学学报,2016,42(5):1065-1070. ZHANG Yao-tian,ZHANG Xu-cheng,JIA Ming-shun,et al.Adaptive evaluation method based on analytic hierarchy process[J].Journal of Beijing University of Aeronautics and Astronautics,2016,42(5):1065-1070.(in Chinese)
[13] Tyagi S,Agrawal S,Yang K,et al.An extended Fuzzy-AHP approach to rank the influences of socialization externalization combination internalization modes on the development phase[J].Applied Soft Computing,2017,52(3):505-518.

无人机集群协同态势觉察一致性评估

UAV Swarm Cooperative Situation Perception Consensus Evaluation

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