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。 In order to solve the problem of linkage between radar and ESM remotely located under system error, a novel heterogeneous sensor trajectory association algorithm based on location statistics and maximum likelihood criterion is proposed. Firstly, based on the position statistics, the target is rough-tracked and the false associations are excluded. Then, the maximum likelihood criterion is used to fine-correlate the target in order to improve the radar and ESM Trace correlation detection probability. Simulation results show that compared with the existing algorithms, the proposed algorithm can well accomplish the trajectory association with multiple targets.