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在低数据率条件下,对监视区域内的每个目标进行有效分析是非常困难的。针对该问题,将阵群目标作为研究对象,并给出了一种基于空间分布特征的阵群目标数据关联算法。首先,在近邻点集聚合的基础上,从传感器给出的单目标观测集合中提取出阵群目标观测(简称阵群观测);其次,按照自顶向下的方式逐次计算各个阵群观测不同子集空间分布的距离度量,并以此为基础计算阵群观测之间的关联度量;最后,通过在关联代价矩阵上应用二维分配算法得到不同时刻各个阵群观测之间的对应关系。仿真结果证实了该算法的有效性。
At low data rates, it is very difficult to effectively analyze each goal in the surveillance area. In order to solve this problem, the array target is taken as the research object, and an array data association algorithm based on the spatial distribution is given. Firstly, based on the clustering of neighbor points, the target observation (group observation) is extracted from the single-target observation set given by the sensor. Secondly, according to the top-down method, The distance measure of the spatial distribution is collected and used to calculate the correlation measure between the group observations. Finally, the corresponding relationship between the various group observations at different moments is obtained by applying the two-dimensional distribution algorithm on the correlation cost matrix. Simulation results confirm the effectiveness of the algorithm.