基于综合相关判别的无源航迹关联算法

An Algorithm of Passive Track Correlation Based on Synthesis Correlation Discrimination

航迹关联是多目标航迹处理中的重要问题,综合利用无源传感器获取的其他信息是改善航迹关联的重要途径。利用辐射源航迹得到正确的目标关联航迹较困难,因此,提出了一种辐射源航迹自关联和目标平台航迹互关联的两步关联综合相关判别算法,在充分运用无源传感器获取到的角度信息的同时,利用丰富的综合属性信息对航迹进行关联。仿真结果表明,该算法能够有效解决多无源传感器的航迹关联问题,并且有较高的关联正确概率。

Track association is the major problem when dealing with the multi-target trajectory association. In order to solve the problem of the lack of correlation information, the synthesized utilization of other feature information obtained by using heterogeneous sensors is an important approach to improve the performance of track association. Regarding to the difficult issue of obtaining the correct target track correlation by use of the radiation source track correlation, a two-step correlation discrimination algorithm was proposed, which was composed of radiation source track autocorrelation and target platform track cross-correlation. The algorithn could not only make full use of the angle information obtained by passive sensors, but also implement track correlation based on the abundant integrated attributes. The simulation result indicates that the algorithm is effective in solving the track association problem of the multiple passive sensors, as well as obtaining high association validity.