沈阳航空航天大学学报2025，Vol.42Issue(5)：60-67,8.DOI:10.3969/j.issn.2095-1248.2025.05.008
基于IC-SOR-DEN的无人机空战意图识别
UAV air combat intention recognition based on IC-SOR-DEN
摘要
Abstract
In the highly complex and intensely adversarial air combat environment,current unmanned aerial vehicle intention assessment methods generally face challenges such as strong subjectivity of fusion rules,ignoring the time correlation of relevant attributes,and insufficient defect information processing means.To address these issues,this paper proposes a dynamic evidence network method that integrates defect information correction and subjective and objective rules.Firstly,focusing on the strong correlation of continuous variables in the time dimension,a spatiotemporal fusion evidence network model was modularly constructed.Subsequently,by introducing the LSTM trajectory prediction technology,a defect evidence correction mechanism was established,which significantly improved the accuracy and integrity of information.Finally,objective rules were designed based on statistical calculation methods,and combined with subjective experience,a library of subjective and objective rules was constructed.Based on the above improvements,simulation experiments were conducted.The results confirm that the proposed mechanism of defect information correction,subjective and objective rules,and dynamic fusion have significant advantages in improving the accuracy and credibility of intention recognition results.关键词
意图识别/证据修正/主客观规则/时空融合/证据网络Key words
intention recognition/evidence correction/subjective and objective rules/spatiotemporal fusion/evidence network分类
航空航天引用本文复制引用
王昱,李硕,孟光磊,谭丞志..基于IC-SOR-DEN的无人机空战意图识别[J].沈阳航空航天大学学报,2025,42(5):60-67,8.基金项目
国家自然科学基金(项目编号:62373261,61906125) （项目编号:62373261,61906125）
辽宁省高校基本科研项目(项目编号:LJ232410143020,LJ212410143047). （项目编号:LJ232410143020,LJ212410143047）
