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南京电子技术研究所,江苏南京 210039
[ "程炜健 (1992—),男,安徽省黄山市人。硕士学位,工程师,研究方向为数据处理算法设计与实现。E-mail: cwj_greentea@163.com" ]
[ "李泽宇 (1992—),男,辽宁省锦州市人。博士学位,高级工程师,研究方向为多源信息融合技术。E-mail: running_fatty@163.com" ]
纸质出版日期:2025-02-15
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程炜健, 李泽宇. 基于量测匹配的多传感器目标关联跟踪方法[J]. 新一代信息技术, 2025, 8(2): 01-07
CHENG Wei-jian, LI Ze-yu. Multi-sensor Target Correlation Tracking Method Based on Measurement Matching[J]. New Generation of Information Technology, 2025, 8(2): 01-07
程炜健, 李泽宇. 基于量测匹配的多传感器目标关联跟踪方法[J]. 新一代信息技术, 2025, 8(2): 01-07 DOI: 10.12263/newIT.2025.02.001.
CHENG Wei-jian, LI Ze-yu. Multi-sensor Target Correlation Tracking Method Based on Measurement Matching[J]. New Generation of Information Technology, 2025, 8(2): 01-07 DOI: 10.12263/newIT.2025.02.001.
当前防空反导场景下,目标突防手段复杂多样。雷达跟踪密集多目标时,易受电磁干扰、群目标遮挡、地形遮蔽等影响,多雷达对同一目标航迹的关联易出现混批、换批问题,导致目标关联一致性下降,降低多雷达融合情报质量。针对上述问题,本文利用多雷达测距精度高于测角精度的特征,提出基于多雷达量测匹配的目标航迹关联方法,采用最小二乘实现多雷达距离交叉定位,由定位解计算目标相对于雷达的方位和俯仰角度,通过统计各雷达角度量测与定位解之间的误差分布,辅助判断多雷达对同一目标的关联跟踪,提升航迹关联一致性。仿真结果验证了所提方法的有效性。
In the current air defense and anti-missile scenario
the target penetration means are complex and diverse. In the intensive multi-target tracking
the radars are susceptible to electromagnetic interference
group target occlusion
terrain occlusion
etc.
and the association of multiple radars with the same target track is prone to the problem of mixed batch and batch change
which leads to the decline of the consistency of target association and the reduction of the quality of multi-radar fusion intelligence. To solve the above problems
this paper makes use of the characteristics that the range accuracy of multi-radar is higher than the angle measurement accuracy
and proposes a target track association method based on multi-radar measurement matching. First
the least square is adopted to achieve multi-radar distance cross positioning. Then
the orientation and pitch angle of the target relative to the radar are calculated from the positioning solution
and the error distribution between the measurement and the positioning solution is calculated by statistics. It helps to judge the correlation tracking of multiple radars to the same target and improve the consistency of track association. Finally
the simulation results verify the effectiveness of the method.
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