Intention recognition method for space non-cooperative targets based on fuzzy reasoning
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摘要:
针对空间中无先验信息的非合作目标意图难以判别的问题，提出一种基于模糊推理的意图识别方法，实现对目标意图的可溯源识别。以绕飞、打击和角度3种度量作为态势评估指标，综合利用非合作目标典型抵近行为的特征信息和领域专家知识构建意图识别数据集。通过聚类分析和隶属度划分对目标意图的特征数据进行模糊化处理，采用模糊决策树算法建立意图识别模型，实现对目标意图的可溯源准确识别。用数值方法进行仿真验证，验证了所提方法的有效性，且识别准确率优于比较方法。
Abstract:Aiming at the problem of recognizing the intention of space non-cooperative targets without prior information, an intention recognition method based on fuzzy reasoning is proposed to enable traceable identification of target intentions. The three indicators “flying around”, “strike”, and “angle” are used as situation assessment metrics. An intention recognition dataset is constructed by integrating characteristic information of typical close-approach behaviors of space non-cooperative targets with domain expert knowledge. The intention-related feature data is fuzzified through cluster analysis and membership function assignment. A fuzzy decision tree algorithm is then employed to build the intention recognition model, enabling accurate and traceable identification. Finally, numerical simulations are conducted to validate the effectiveness of the proposed method, demonstrating superior recognition accuracy compared to the baseline algorithm.
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图 3 电磁探测意图示例的非合作目标相对运动示意图和相对位置各向分量变化曲线
Figure 3. Relative motion and position component curves of a non-cooperative target in the electromagnetic detection intention example
图 4 观测成像意图示例的非合作目标相对运动示意图和相对位置各向分量变化曲线
Figure 4. Relative motion and position component curves of a non-cooperative target in the observation imaging intention example
图 5 伴飞潜伏意图示例的非合作目标相对运动示意图和相对位置各向分量变化曲线
Figure 5. Relative motion and position component curves of a non-cooperative target in the accompanying flight lurking intention example
图 6 末段拦截意图示例的非合作目标相对运动示意图和相对位置各向分量变化曲线
Figure 6. Relative motion and position component curves of a non-cooperative target in the terminal interception intention example
图 7 无威胁意图示例的非合作目标相对运动示意图和相对位置各向分量变化曲线
Figure 7. Relative motion and position component curves of a non-cooperative target in the no-threat intention example
表 1 己方航天器初始轨道根数
Table 1. Initial orbit elements of our spacecraft
初始轨道根数 数值 半长轴/km 6771.00 偏心率 0 轨道倾角/(°) 41.47 升交点赤经/(°) 58.01 近地点幅角/(°) 196.64 真近点角/(°) 176.64 
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表 2 意图识别训练集
Table 2. Intention recognition training set
意图标签 数量 电磁探测 30 观测成像 30 伴飞潜伏 30 末段拦截 30 无威胁 30
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表 3 各态势属性聚类中心点
Table 3. Clustering centers of situation attributes
态势属性 聚类中心点 名称 数值 绕飞态势 FA1 0.0262 FA2 0.2272 FA3 0.8882 角度态势 AG1 0.1182 AG2 0.6291 AG3 0.9636 打击态势 HT1 0.0226 HT2 0.8521
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