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为了解决航迹中断前后难以判定目标归属的问题,对处于被动段飞行的弹道导弹中断航迹关联问题进行了研究。在目标密集的环境下,将旧航迹的预测航迹和新航迹的滤波航迹作为关联样本,计算目标之间的统计距离并以此作为费用矩阵,将航迹关联问题转换为最优分配问题,并采用粒子群算法对模型进行求解,得到最终的关联航迹对。最后,通过仿真验证了该方法的有效性。
In order to solve the problem that it is difficult to determine the target attribution before and after the interruption of the track, the issue of trajectory correlation of ballistic missiles in the passive flight is studied. In the target-intensive environment, taking the predicted track of the old track and the filtered track of the new track as the related samples, the statistical distance between the targets is calculated and used as the cost matrix to convert the track association problem into the optimal allocation Problem, and the particle swarm optimization algorithm to solve the model to get the final associated track pair. Finally, the effectiveness of this method is verified by simulation.