基于匈牙利法的机载雷达中断航迹关联

Airborne Radar Track Segment Association Based on Hungarian Algorithm

机载预警雷达航迹的连续性对于机载指控系统十分重要,而由于多普勒盲区、电磁干扰或者电子静默等原因,雷达航迹会出现航迹中断批号更改的现象,影响作战效能。针对传统的中断航迹关联算法关联错误率高、抗噪声性差等缺点,文中重点研究了机载雷达航迹中断逻辑,进行航迹预处理得到目标位置参数、运动特征参数,进行关联代价矩阵归一化,创新性地应用匈牙利法求解中断前后航迹关联关系。仿真结果表明:与传统中断航迹关联算法相比,文中算法在关联正确率、抗噪性、抗机动性等关联性能上有显著提高。

The continuity of the tracks which detected by airborne early warning radar is quite important for airborne command and control system.Due to the Doppler bind zone,electromagnetic interference and electronic silence,radar tracks may be interrupted or reappear,with the batch number being changed,which seriously affects combat effectiveness.Aiming at the shortcomings of the traditional track segment association algorithm,such as high error association probability and poor anti-noise performance,the track interruption logic of airborne radar is mainly focused in this paper,track preprocessing is carried out to obtain the target position parameters and motion characteristic parameters by track fitting,cost matrix parameters are normalized,and the Hungarian algorithm is innovatively used to obtain the correlation of track segments.Simulation results show that this algorithm has better correlation performance in correlation accuracy,noise resistance and mobility resistance than traditional algorithm.