基于拓扑相似度的航迹关联算法

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，传统的基于统计和模糊的思想，通过目标位置、速度等信息进行关联判决，难以达到更好的关联效果。文章基于目标之间的拓扑信息，提出了一种新的航迹关联算法，该算法能避免空间划分不均匀、算法经验性太强、对密集航迹场景不适应等多种问题。仿真实验表明该方法具有较高的关联精度和鲁棒性。

Track Correlation Algorithm Based on Like-hood of Topology

Track association has been recognized as one of the major problems in distributed multiradar multitarget tracking systems,Tracks formed on the same targets by multiradar may differ due to misalignment or bias error,so traditional methods based on statistic and fuzziness cannot be reliably used for track-to-track association by target position and speed.Then a new kind of track association algorithm based on topology information between targets is presented,many application dilemmas,such as uneven space division,an excessive number of heuristic parameters,poor adaption to dense t rack scenes,can be avoided by the new algorithm.The simulations show that this method has better accuracy and robusticity.