集中式多传感器群目标灰色精细航迹起始算法

为解决多传感器群内目标精细航迹起始的难题，提出一种集中式多传感器群目标灰色精细航迹起始算法。该算法首先基于循环阈值模型、群中心点完成群的预分割、预互联，然后将预互联成功的群按传感器分成子群，基于灰色精细互联模型剔除同一传感器子群内的虚假量测，并利用量测合并模型消除群内多传感器对同一目标的冗余信息，最后基于灰色精细互联模型、航迹得分完成群内量测的精细互联和航迹输出。经仿真验证，与分布式多传感器修正逻辑法、基于聚类和Hough变换的集中式多传感器多编队航迹起始算法相比，该算法综合性能更优。

Gray refined track initiation algorithm for centralized multi-sensor group targets

In order to solve the multi-sensor group targets refined track initiation problem, a gray refined track initiation algorithm for group targets is proposed. In this algorithm, the preparatory group division and association are done based on the circulatory threshold model and the group centers firstly. Secondly, many subgroups are obtained from the associated groups based on the sensors. The clutters in the subgroups from the same sensor and the repeated information of the same target from the sensors in the groups are eliminated respectively with the gray refined association model and the measurement combination model. Finally, the measurement refined association of the groups is done with the gray refined association model, and the tracks are validated based on the track score. The analysis results of the simulation data show that the general performance of this algorithm is better than that of the distributed multi-sensor modified logic algorithm and the centralized multi-sensor multi-formation track initiation algorithm based on clustering and Hough transform.