基于相对位置矢量的群目标灰色精细航迹起始算法

 为解决群内目标精细航迹起始的难题,基于对传统航迹起始算法及现有群目标航迹起始算法优缺点的分析,给出了完整的群目标航迹起始框架,并提出了一种基于相对位置矢量的群目标灰色精细航迹起始算法。首先基于循环阈值模型、群中心点进行群的预分割、预关联,然后对预关联成功的群搜索对应坐标系,建立群中各量测的相对位置矢量,基于灰色精细互联模型完成群内量测的互联,最后基于航迹确认规则得到群目标状态矩阵。经仿真数据验证,与修正的逻辑法、基于聚类和Hough变换的多编队航迹起始算法相比,该算法在起始真实航迹、抑制虚假航迹及杂波鲁棒性等方面综合性能更优。

Refined Gray Track Initiation Algorithm of Group Targets Based on Relative Position Vectors

A complete track initiation frame is provided based on an analysis of the traditional track initiation algorithms and the existent group target track initiation algorithms with the aim of solving the refined track initiation problem of targets in a group,and a refined gray track initiation algorithm of group targets based on relative position vectors is proposed.Firstly,a preparative division and association of the group targets are performed based respectively on the circular threshold model and the group center.Secondly,the corresponding coordinates of the preparative associated groups are found,and then the relative position vectors of the measurements are built,The measurements in the groups are associated with the refined gray association model.Finally,the group target state matrix is obtained with the track validation rule.An analysis of the results of the simulation data shows that the overall performance of this algorithm is better in terms of true track initiation,false track restraint and adaptation to clutters as compared with the modified logic algorithm and the multi-formation track initiation algorithm based on clustering and Hough transform,