综合利用各类信息的异类灰色航迹关联算法

A Track Association Algorithm of Heterogeneous Sensors Based on Gray Theory by Using Information Synthetically

异类传感器航迹关联是航迹融合中的一个难点,红外传感器与雷达的航迹关联是典型的异类传感器航迹关联。综合利用角度和其他特征信息是改善异类传感器航迹关联的一个重要途径。针对异类传感器数据关联用于关联的信息量少的问题,对于雷达在直角坐标系对目标进行跟踪,红外传感器在修正的球坐标系对目标进行跟踪的情况,综合利用角度、角度变化率和ITG信息,提出了一种基于灰色理论的航迹关联决策方法,计算机仿真结果表明新的关联算法与只利用角度信息的关联算法相比具有更好的关联性能。

Track association of heterogeneous sensors plays an important role in track fusion,and the track correlation of infrared sensor and radar is a typical correlation of heterogeneous sensors.In order to solve the problem of the lack of correlation information,the synthesized utilization of angle and other feature information is a trend to improve the performance of heterogeneous sensor track association.For target tracking with radar and infrared sensor（a radar operated in Cartesian coordinates and an infrared sensor operated in the modified spherical coordinates）,a new method of track association based on gray theory was proposed by using the information of angle,angle rate and ITG synthetically.Simulation was made,and the results show that the association performance of the proposed method is superior to that of the association statistics based only on angle information.