编队目标跟踪的自适应相关波门算法

An Adaptive Correlative Gate Algorithm for Formation Target Tracking

为解决空中编队目标跟踪过程中航迹关联的难题,提出一种基于目标运动状态的自适应相关波门算法。首先通过分析编队目标的运动特征,完成编队分割和编队速度的估计;然后将编队目标的速度方向作为约束自适应波门的条件,在跟踪过程中根据目标运动方向确定波门方向,并基于前一时刻编队中各目标的距离来选择波门尺寸,同时考虑测量误差和预测误差的影响。仿真结果表明:相对于传统的固定波门算法,在编队目标跟踪过程中,自适应波门算法在避免编队内目标航迹相互交错和保证跟踪稳定性方面可以达到较好的跟踪效果。

To solve the problem of track association in aerial formation target tracking,an adaptive correlation gate algorithm based on moving state of the target was proposed.Firstly,target group division and speed estimation are implemented by analyzing the motion characteristics of the formation target.Then,the speed direction of formation target is taken as the constraint condition of the adaptive gate,the adaptive gate direction is determined by the speed direction,and the size of the gate is determined by distance between each target in the formation the moment before.The measurement error and the prediction error are also taken into account.The simulation results show that as far as crossed track avoiding and tracking stability keeping,the performance of the adaptive algorithm is better than that of the traditional algorithm.