Abstract:

In recent years， unmanned aerial vehicles have become an indispensable and important weapon in modern warfare， and the offensive and defensive confrontation system covering unmanned aerial vehicle systems has become one of the basic characteristics of modern warfare. Studying the survivability problem of unmanned aerial vehicle systems under strong denial conditions has important application value for future battlefield confrontation. This paper analyzed the challenges faced by combat unmanned aerial vehicle systems in the physical， electromagnetic， and information domains and gave targeted strategies to cope with different denial conditions. The combat scene， combat configuration， and movement tactics were proposed for unmanned aerial vehicle systems under strong denial conditions. The key problems related to survivability were studied， including the bifocus random walk algorithm of relay swarm， the secondary planning technology of denial space path， and the service-oriented architecture technology of intelligent edge accusation center. By optimizing the overall design of the combat system， the survivability of unmanned aerial vehicle systems under strong denial conditions can be effectively improved to cope with the complex combat environment of future battlefields.

Key words: unmanned aerial vehicle（UAV） system, strong denial condition, offensive and defensive confrontation, combat configuration, movement tactic, survival technology

摘要：

近年来，无人机已成为现代战争中不可或缺的重要武器，而涵盖无人机系统的攻防对抗体系已成为现代战争的基本特征之一。研究强拒止条件下无人机系统的生存能力问题，对未来战场的对抗具有重要应用价值。分析了作战无人机系统在物理域、电磁域和信息域中面临的挑战，针对性地给出不同类型拒止条件下的应对策略，并提出了强拒止条件下无人机系统的作战画面、作战构型及运动战法，研究了其中涉及的生存能力关键问题，提出中继群双焦点随机游走技术、拒止空间路径二次规划技术和智能边缘指控中心的面向服务架构技术。通过对作战系统进行整体优化设计，能够有效提升无人机系统在强拒止条件下的生存能力，以应对未来战场的复杂作战环境。

关键词: 无人机系统, 强拒止, 攻防对抗, 作战构型, 运动战法, 生存技术