摘 要：在空间任务场景中，快速准确地识别空间非合作目标的意图，是航天器掌握战场主动权、保障后续决策可靠性的关键前提。同时航天器获取目标意图后需要具备高效的轨道博弈能力，针对空间非合作目标意图制定出有效的规避、防御甚至反击策略，切实维护自身在轨安全。本文围绕空间非合作目标意图识别与轨道博弈展开系统论述：首先介绍了目标意图识别的相关概念，明确了空间非合作目标意图识别的过程。重点综述包括模板匹配、D-S证据理论、贝叶斯网络及基于深度学习方法等典型的目标意图识别方法，并客观分析其优势与局限性；其次，梳理了空间轨道博弈相关概念，从不同角度对轨道博弈进行了分类，系统综述了求解空间轨道博弈策略的方法；最后，深入剖析空间非合作目标意图识别与轨道博弈领域现存的关键问题，结合技术发展趋势对未来研究方向进行展望，为相关领域的后续探索提供参考。

Abstract: In space mission scenarios, rapid and accurate recognition of the intentions of space non-cooperative targets is a critical prerequisite for spacecraft to seize the initiative on the battlefield and ensure the reliability of subsequent decision-making. Meanwhile, after obtaining target intentions, spacecraft must possess efficient orbital game capabilities to formulate effective evasion, defense and even countermeasures against the intentions of space non-cooperative targets, so as to practically safeguard their own on-orbit safety. This paper systematically discusses the intention recognition and orbital game of space non-cooperative targets. Firstly, the relevant concepts of target intention recognition are introduced, and the process of intention recognition for space non-cooperative targets is clarified. Typical intention recognition methods including template matching, D-S evidence theory, Bayesian network and deep learning-based methods are emphatically reviewed, with their advantages and limitations objectively analyzed. Secondly, the relevant concepts of space orbital game are sorted out, orbital games are classified from different perspectives, and the methods for solving space orbital game strategies are systematically summarized. Finally, the existing key problems in the field of intention recognition and orbital game of space non-cooperative targets are deeply analyzed, and the future research directions are prospected combined with the development trend of technology, so as to provide a reference for the follow-up exploration in related fields.