基于广义绝对灰关联度的航迹关联算法

Track Correlation Algorithm Based on Generalized Absolute Gray Association Degree

为提高船舶航行安全和海面预警探测能力,对AIS与雷达目标航迹关联问题进行了研究,提出了一种基于广义绝对灰关联度理论的AIS与雷达目标航迹关联算法。该算法结合目标状态的历史信息来计算广义绝对灰关联系数,结合广义绝对灰关联系数的历史信息来得到广义绝对灰关联度,进而通过寻找最大广义绝对灰关联度来进行航迹关联判决。通过典型环境下的仿真,显示了该算法较好的航迹关联性能,并且在密集目标环境下,该算法也具有很好的适应性。

For increasing the safety voyage of ships and raising the early warning and detection ability on the sea, this paper discusses the track association problem between AIS and radar and puts forward a sort of track association algorithm based on generalized absolute gray association degree. The algorithm calculates generalized absolute gray association coefficient via combining history information of target state, gets generalized absolute gray association degree via combining history information of generalized absolute gray association coefficient, and makes track association judgement by searching the maximal generalized absolute gray association degree. The simulation in typical environment shows its preferable track association performance. Under the environment of crowded targets, it also shows good adaptability.