提出了一种编队密集目标精细航迹起始算法，该算法无需进行计算量较大的量测聚类处理。首先通过放宽航迹起始准则建立所有可能的初始相关序列；然后通过比较不同序列间是否包含公共量测，对所有序列进行聚类;最后对同属一个聚类的初始相关序列采用最优化分配处理，选取最优方案对编队中的每个目标进行精细航迹起始。经仿真数据验证，该算法计算量小，航迹起始正确率高。

A refined track initiation algorithm is proposed for the objects in dense formation.The measurement clustering algorithmwhich needs significant amount of computationis not needed in the method.Firstall possible associate point sequences are built up by extending the track initiation conditions.Thenclustering is made to all the sequences by comparing the different sequences to see if they have the common measurements.At lastoptimized distribution is taken to the initial relative sequences belong to the same clusterand the optimum scheme is selected to each object in the formation for track initiation.Simulation results prove that the method has fine performance on formation track initiationlow computational burden and high accuracy rate on track initiation.