机载雷达中断航迹关联算法

Tracking Segment Association Algorithm for Airborne Radar

由于多普勒盲区、电磁干扰以及电子静默等原因,机载预警雷达会经常出现目标航迹中断的现象。针对传统中断航迹关联算法航迹错误关联和漏关联的概率较高的缺点,文中提出基于先验信息的中断航迹关联算法,利用目标运动特征等先验信息进行粗关联,采用对数代价函数结合二维最优分配实现中断航迹关联,并通过多项式拟合连接关联成功的航迹。仿真实验表明,该算法关联性能比传统算法有显著提高。

Due to the Doppler blind zone, electromagnetic interference and electronic silence, the track of airborne early warning radar is often interrupted. Aiming at the shortcomings of the traditional track segment association algorithm, such as high probability of track error correlation and missing correlation, a track segment association algorithm is proposed on the basis of target priori information. Firstly, target motion characteristics are used for rough track to track correlation. Then, track segments association is achieved by the logarithmic cost function and the two-dimensional optimal assignment. Finally, the associated track segments are connected by polynomial fitting. The simulation results show that the algorithm has better correlation performance than the traditional algorithm.