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作 者:马超[1] MA Chao(Institute of Remote Sensing Satellite,China Academy of Space Technology,Beijing 100094,China)
机构地区:[1]中国空间技术研究院遥感卫星总体部,北京100094
出 处:《空天预警研究学报》2025年第1期41-46,共6页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH
摘 要:当前的现代化作战模式呈现出全域协同一体的特点,复杂的对抗环境条件对跨域协同探测系统的抗干扰能力提出了挑战.在对抗条件下,分布式抗干扰技术成为关键,它通过各节点独立检测与处理干扰,提升了系统鲁棒性.人工智能的引入不仅能更有效地应对复杂环境中的干扰挑战,还能确保关键任务的成功执行.为此,首先探讨分布式智能抗干扰方法在跨域协同探测体系中的应用,然后对未来的发展趋势和潜在的挑战进行展望,以支撑更高层级的信息化作战.The current modern mode of warfare exhibits the characteristics of the whole-domain collaboration and integration.However,the complex counterwork environments and conditions pose challenges to the anti-jamming capabilities of cross-domain collaborative detection systems.Under the condition of confrontation,distributed anti-jamming technology becomes a critical solution,and it improves the robustness of the system by detecting and dealing with interference independently by each individual node.The introduction of artificial intelligence will not only more effectively cope with interference challenges in complex environments,but also ensure the successful execution of critical missions.In view of this,the paper first explores the application of distributed intelligent anti-jamming methods within cross-domain collaborative detection framework,and then provides an outlook on future development trends and potential challenges,aiming to support higher-level informationized warfare.
关 键 词:跨域协同探测 对抗条件 分布式抗干扰 人工智能 信息化作战
分 类 号:TN973[电子电信—信号与信息处理]
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