Abstract: Due to the lack of altitude information,aircraft targets can not be made track association by the distributed 2D radar network.A novel track association algorithm for 2D and 2D radar is proposed.The tracks coming from two radars belong to different places are united based on geometrical features of radars and target,and association function is created.The linear relationship between association function and radar measurement noise is built with the first-order of Taylor expansion of the association function,and the association threshold is obtained according to the confidence interval of measurement noise.The association cost matrix based on historical information is established after rough track association,and precise track association is realized through optimal assignment with Hungary algorithm.Simulation results demonstrate that the proposed method can solve the track association in distributed 2D radar network effectively,and be of certain practical application value.

Key words: track association, 2D radar network, optimal assignment, association cost matrix, Hungarian algorithm

摘要： 针对分布式2D雷达网由于缺乏高度信息而不能对空中目标进行航迹关联的问题,研究了一种2D与2D雷达航迹关联算法。首先,利用雷达和目标之间的几何特性将来自两异地雷达的航迹有效地统一起来,建立航迹关联函数;然后,对关联函数进行一阶泰勒展开,得到关联函数与雷达量测噪声的线性关系,并根据雷达量测噪声的置信区间得到关联门限;最后,在航迹粗关联的基础上建立基于历史信息的关联代价矩阵,利用匈牙利算法对代价矩阵进行航迹最优分配,实现航迹精关联。仿真结果表明,该方法能够有效解决分布式2D雷达网对空中目标的航迹关联问题,具有一定的实际应用价值。

关键词: 航迹关联, 2D雷达网, 最优分配, 关联代价矩阵, 匈牙利算法