针对系统误差下异地配置的雷达和ESM航迹关联问题，提出了一种基于位置统计量和最大似然准则的异类传感器航迹关联算法。首先，基于位置统计量对目标进行了航迹粗关联，排除掉一些虚假关联组合；接着，在此基础上采用最大似然准则对目标进行了航迹细关联，以求进一步提高雷达和ESM航迹关联的检测概率。仿真结果表明，与现有算法相比，该算法可较好地完成对多目标的航迹关联。

To improve the track association of radar and ESM sensors with systematic errors at different sites,a track association algorithm for heterogeneous sensors was proposed based on positional statistics and maximum likelihood principle.In this method,coarse track association based on positional statistics was used to eliminate some obvious false association firstly.Then,the measurements from different sensors were further associated by using the maximum likelihood principle to improve the detection probability of radar and ESM sensors.Simulation results show that multiple track association can be finished more effectively by the using the proposed method.