Unmanned combat system-of-systems (UCSoS) refers to a new type of combat force composed of unmanned combat platforms with different capabilities and whose structure can be topologized as a heterogeneous network. Enemy damage to network nodes can lead to degradation of UCSoS performance, making it crucial to enhance its battlefield resilience. Due to resource and time constraints, the traditional structural reconstruction approach cannot be the preferred solution for resilience enhancement. Therefore, this paper proposes a kill chain optimization method (KCOM) for resilient UCSoS from the kill chain process perspectives of observation, localization, decision-making, and action. First, based on the modern combat cycle theory, a kill chain model of UCSoS is constructed to model the mission delivery process among network nodes. Second, a novel resilience metric is proposed to evaluate the resilience of UCSoS in terms of mission benefits and post-interruption performance fluctuations. Last, a KCOM is proposed, which considers the resilience improvement strategies from the resistance and recovery perspective. Focusing on utilizing limited resources, KCOM improves UCSoS resilience by optimizing the kill chain selection on the network. Simulation experiments verify the feasibility of the model and the superiority of the optimization method, and some conclusions are expected to provide forward-looking guidance for future battlefield command and control.

中文翻译：

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一种提高无人作战系统恢复能力的杀伤链优化方法

无人作战系统系统（UCSoS）是指由不同能力的无人作战平台组成的新型作战力量，其结构可拓扑为异构网络。敌人对网络节点的损坏可能会导致 UCSoS 性能下降，因此增强其战场弹性至关重要。由于资源和时间的限制，传统的结构重建方法不能成为增强韧性的首选解决方案。因此，本文从观察、定位、决策和行动的杀伤链过程角度提出了一种用于弹性UCSoS的杀伤链优化方法（KCOM）。首先，基于现代作战循环理论，构建UCSoS杀伤链模型，对网络节点间的任务传递过程进行建模。其次，提出了一种新的弹性指标来评估 UCSoS 在任务效益和中断后性能波动方面的弹性。最后，提出了KCOM，从阻力和恢复的角度考虑弹性改进策略。KCOM 着眼于利用有限的资源，通过优化网络上的杀伤链选择来提高 UCSoS 的弹性。仿真实验验证了模型的可行性和优化方法的优越性，部分结论有望为未来战场指挥控制提供前瞻性指导。