时空关联多跟踪剔除的多源数据融合方法  

A Multi-Source Data Fusion Method with Space-Time Correlation and Multi-Tracking Elimination

作　　者：潘亮 郭玉霞[1,2] 崔炳喆 PAN Liang;GUO Yuxia;CUI Bingzhe(China Airborne Missile Academy,Luoyang Henan 471009,China;National Key Laboratory of Air-based Information Perception and Fusion,Luoyang Henan 471009,China)

机构地区：[1]中国空空导弹研究院,河南洛阳471009 [2]空基信息感知与融合全国重点实验室,河南洛阳471009

出　　处：《海军航空大学学报》2023年第3期241-246,共6页Journal of Naval Aviation University

摘　　要：随着网络信息共享技术的深入发展,多源异构数据将是未来数据融合的主要信息源,这种数据融合表现出跨平台、跨军种、跨领域等特征,对多源异构数据关联与融合提出了新要求。针对特定场景敏感区域内有限多目标的探测问题,结合一体化作战数据融合的数据滤波、空时配准、航迹关联与建立、多目标跟踪等方面,提出了时空关联多跟踪剔除的数据融合方法,并从数据滤波、航迹关联与融合、时空关联多跟踪剔除以及融合数据“簇”等方面重点研究了所提出的数据融合方法。距离波门拖引干扰和牵引干扰的对抗仿真试验表明,所提方法具有一定应用价值。With the in-depth development of network information sharing technology,multi-source heterogeneous data will be the main information source of data fusion in the future.This data fusion is characterized by cross-platform,cross-service and cross-field,and puts forward new requirements for the association and fusion of multi-source heterogeneous data.For the detection problem of limited multi-object in the sensitive area of specific scenes,combined with the data fusion of inte⁃grated combat,the data fusion method with space-time correlation and multi-tracking elimination is proposed.The proposed data fusion method is mainly studied from the aspects of data filtering,track correlation,and fusion data"cluster".The antiinterference simulation test of RGPO and RGPI shows that the proposed method has certain application value.

关 键 词：一体化作战 时空关联多跟踪剔除 数据融合 数据“簇” 航迹处理 

分 类 号：TN951[电子电信—信号与信息处理]