Abstract
This paper addresses a critical aerial defense challenge in contested airspace, involving three autonomous aerial vehicles -- a hostile drone (the pursuer), a high-value drone (the evader), and a protective drone (the defender). We present a cooperative guidance framework for the evader-defender team that guarantees interception of the pursuer before it can capture the evader, even under highly dynamic and uncertain engagement conditions. Unlike traditional heuristic, optimal control, or differential game-based methods, we approach the problem within a time-constrained guidance framework, leveraging true proportional navigation based approach that ensures robust and guaranteed solutions to the aerial defense problem. The proposed strategy is computationally lightweight, scalable to a large number of agent configurations, and does not require knowledge of the pursuer's strategy or control laws. From arbitrary initial geometries, our method guarantees that key engagement errors are driven to zero within a fixed time, leading to a successful mission. Extensive simulations across diverse and adversarial scenarios confirm the effectiveness of the proposed strategy and its relevance for real-time autonomous defense in contested airspace environments.
Abstract (translated)
本文探讨了在争议空域中的一项关键空中防御挑战，涉及三个自主飞行器：一个敌对无人机（追击者），一个高价值无人机（躲避者）和一个保护性无人机（保卫者）。我们提出了一种合作引导框架，旨在确保在动态且不确定的交战条件下，由躲避者和保卫者组成的团队能够拦截追击者，从而防止其捕获躲避者。与传统的基于启发式、最优控制或微分博弈的方法不同，我们的方法在一个受时间约束的引导框架内解决问题，并利用真正的比例导航方法来确保空中防御问题具有鲁棒性和确定性的解决方案。提出的策略计算成本较低，可扩展到大量代理配置中，并且不需要了解追击者的策略或控制规律。 从任意初始几何位置开始，该方法保证在固定时间内将关键交战误差驱动至零，从而实现成功的任务目标。通过多样化和对抗性场景的广泛模拟验证了所提出策略的有效性和其对于实时自主防御在争议空域环境中的相关性。
URL
https://arxiv.org/abs/2510.02087
