卞华棋,王育辉,王 栋,姜龙亭,王 衡.基于 PCA 的空战机动高阶重构与评估[J].电子测量与仪器学报,2020,34(6):191-197 |
基于 PCA 的空战机动高阶重构与评估 |
High order reconstruction and evaluation of aircombat maneuver based on PCA |
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DOI: |
中文关键词: 急动度 主成分分析法 空战机动 高阶重构 态势评估 |
英文关键词:degree of jerkiness PCA maneuver decision high order reconstruction situation assessment |
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中文摘要: |
针对空战机动的高阶重构与评估问题进行研究,以飞机的飞行状态数据为研究对象,通过引入急动度的概念,构建机动
决策重构指标模型。 为了减少主观的评价方法对评估结果的影响,通过引入物理学中的急动度理论,利用主成分分析法(PCA)
确定各指标权重,并获得综合评价值。 然后构建机动决策点综合重构函数,提取机动决策点。 结合态势函数及机动决策点对空
战训练中记录的客观数据进行比对分析,仿真结果表明该方法提取的机动决策点符合空战实际,机动决策点的分类符合实际空
战场景。 |
英文摘要: |
Aiming at the high-order reconstruction and evaluation of air combat maneuvers, this paper takes the flight state data of aircraft
as the research object, and constructs the maneuver decision reconstruction index model by introducing the concept of jerkiness. In order
to reduce the impact of subjective evaluation method on the evaluation results, this paper introduces the degree of jerk theory in physics,
USES principal component analysis (PCA) to determine the weight of each index, and obtains the comprehensive evaluation value. Then
the synthetic reconstruction function of maneuver decision point is constructed and the maneuver decision point is extracted. Based on the
situation function and maneuver decision points, the objective data recorded in the air combat training are compared and analyzed. |
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