摘要
近距空战数据是飞行员空战经验的具体体现,其知识提取与应用对于无人作战飞机提升近距自主空战决策效率和空战效能至关重要.围绕近距空战数据研究的必要性与研究思路进行阐述,从多元时间序列分类识别、分割聚类、预测3个角度对近距空战数据知识提取与应用关键技术进行分析,重点对机动轨迹识别、态势评估与目标状态预测进行综述与方案设计.
Close-range air combat data is a concrete manifestation of air combat experience for pilots.Extraction and application of their knowledge is essential for unmanned combat aerial vehicle(UCAV)to improve the efficiency of close-range autonomous air combat decision-making and air combat effectiveness.Concentrated on the necessity and research ideas of close-range air combat data,from three perspectives of multivariate time series classification and recognition,segmentation and clustering,and prediction,key technologies of close-range air combat data knowledge extraction and application are analyzed.Mainly,the focus is review and scheme design of maneuver trajectory recognition,situation assessment and target state prediction.
作者
魏政磊
丁达理
黄康强
黄长强
WEI Zheng-Lei;DING Da-Li;HUANG Kang-Qiang;HUANG Chang-Qiang(China Aerodynamics Research&Development Center,Mianyang Sichuan 621000,China;Air Force Engineering University,Xi’an Shaanxi 710038,China;Unit 95666 of PLA,Chengdu Sichuan 610020,China)
出处
《指挥与控制学报》
CSCD
2022年第1期80-89,共10页
Journal of Command and Control
基金
陕西省自然科学基金(2020JQ-481)
航空基金(201951096002)资助
关键词
时序分析
近距空战数据
知识提取
无人自主空战
time series analysis
close-range air combat data
knowledge extraction
unmanned aerial combat
