随着作战对象的多样化和电磁环境的复杂化,预警探测面临着“看不见、辨不明、抗不住”的严峻挑战。 文中探讨了大数据融合技术在雷达检测、跟踪、识别、抗干扰四大信息处理环节的应用方向及难点,分析了基于数据驱动的自适应目标检测技术、基于数据认知的多目标跟踪技术、基于数据挖掘与融合的目标识别技术以及基于数据知识引导的抗干扰技术四大关键技术的可行性和初步应用效果,并提出了后续应用研究发展建议,可为多变干扰和高强杂波复杂环境下提升预警探测装备系统的探测跟踪、干扰对抗、分类识别等能力提供借鉴参考。

With the diversification of combat objects and the complexity of electromagnetic environment, early warning detection is facing the severe challenge of “invisibility, unidentification and irresistibility”. Application direction and difficulties of big data fusion technology in radar detection, tracking, recognition and anti-jamming are discussed. The feasibility and preliminary application effect of four key technologies, including adaptive target detection technology based on data-driven, multi-target tracking technology based on data cognition, target recognition technology based on data mining and fusion, and anti-jamming technology guided by data knowledge are analyzed. Suggestions for further application and development are put forward, which can provide reference for improving the detection and tracking, jamming confrontation, classification and recognition capabilities of early warning detection equipment systems in complex environment of changeable jamming and high-intensity clutter.

TN959