基于目标参照拓扑的模糊航迹关联方法

航迹关联是分布式多雷达数据融合系统中的关键问题。多个雷达对同一目标观测的局部航迹,在系统偏差的影响下相差很大,难以通过目标位置、速度等信息进行关联判决。基于目标参照拓扑的模糊航迹关联方法,首先利用目标空间上的相对位置信息,提取新的特征———目标拓扑向量,然后考虑正北偏差的影响将其弥散化,继而应用模糊模式识别方法进行分析,建立关联准则,实现目标航迹的自动关联,并可为数据的进一步校准提供先验信息。仿真结果表明该方法具有较高的关联精度和鲁棒性。

Fuzzy Data Association based on Target Topology of Reference

Track association has been recognized as one of the major problems in distributed multiple-radar multiple-target tracking systems.Tracks formed on the same targets by multiple radars may differ due to misalignment or bias error.So the traditional features,such as target position and speed,cannot be reliably used for track-to-track association.The information of relative positions among targets,however,is found to contain special characters and can be extracted as target topology vector of reference dynamically.Applying fuzzy pattern recognition to analyze the similarity of vectors or patterns can set up the criterion of association and provide prior information for alignment.Simulation results show that the proposed algorithm is effective to solve the association problem under the condition of inter-radar bias and robust to the random errors.