基于模糊推理的空间非合作目标意图识别方法

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.