时空关联多跟踪剔除的多源数据融合方法

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。

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

With the in-depth development of network information sharing technology, multi-source heterogeneous data willbe 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 proposeddata fusion method is mainly studied from the aspects of data filtering, track correlation, and fusion data "cluster". The anti-interference simulation test of RGPO and RGPI shows that the proposed method has certain application value.