在文献〔８〕和〔９〕基础上研究了在不等样本情况下的异类传感器——雷达与ＥＳＭ——的航迹相关问题。首先，基于模糊综合函数找出两个最可能的雷达与ＥＳＭ航迹相关对，然后，利用统计理论并采用多门限决策方法进行雷达与ＥＳＭ航迹相关判决。仿真结果表明，与文献〔８〕的方法相比，在雷达航迹比较多的情况下，本文所提出的在不等样本情况下的雷达与ＥＳＭ相关算法具有与其很相近的性能，但计算量明显减少；而与文献〔９〕的方法相比，这里采用多门限决策方法又可同时减小两类错误概率。 On the basis of the literature [8] and [9], we study the track-related problems of heterogeneous sensors-radar and ESM under unequal samples. First of all, the two most probable correlations between radar and ESM trajectory are found out based on the fuzzy comprehensive function. Then, the statistic theory and the multi-threshold decision method are used to determine the trajectory of radar and ESM. The simulation results show that compared with the method in literature [8], the radar and ESM correlation algorithms proposed in this paper have very similar performances when the radar track is relatively large, Compared with the method of literature [9], the method of multi-threshold decision can be used to reduce both types of error probability at the same time.