This study proposes a ground-based threat probability model based on a Markov chain to evaluate multiple ground threats faced by the platform during flight. On this basis, a new threat evaluation and jamming allocation system is constructed by combining the model with jamming resource allocation methods. In the threat evaluation phase, the interaction relationship between the platform and radar is represented by the transfer intensity among radar states according to the domain expert knowledge. Then, the potential state probability of radars in each time period is deduced and converted into the danger value as the objective to be optimised in the next stage. In the jamming allocation phase, the system considers some effects such as jamming technologies, multi-channel, the uncertainty of the threatening environment and other factors, and simulates the process of ground threats. There is traversing all jamming combinations at each period to select the best jamming strategy. This study also designs a multi-threat environment to verify the effectiveness of the system and test its relative performance improvement. Compared with the original threat evaluation and jamming allocation system, the new system has proved its feasibility and better application value.

中文翻译：

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飞机马尔可夫链的地面威胁评估与干扰分配模型

这项研究提出了一个基于马尔可夫链的地面威胁概率模型，以评估平台在飞行过程中面临的多个地面威胁。在此基础上，将模型与干扰资源分配方法相结合，构建了新的威胁评估和干扰分配系统。在威胁评估阶段，根据领域专家的知识，平台与雷达之间的交互关系由雷达状态之间的转移强度表示。然后，推导每个时间段内雷达的潜在状态概率，并将其转换为危险值，作为下一步要优化的目标。在干扰分配阶段，系统会考虑一些影响，例如干扰技术，多通道，威胁环境的不确定性以及其他因素，并模拟地面威胁的过程。每个周期遍历所有干扰组合，以选择最佳干扰策略。这项研究还设计了一个多威胁环境，以验证系统的有效性并测试其相对性能的提高。与原来的威胁评估和干扰分配系统相比，新系统证明了其可行性和较好的应用价值。