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

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.